First and Second Level fMRI Analysis with SPM#
Author: Monika Doerig
Citation:
Wakeman, DG and Henson, RN (2021). Multisubject, multimodal face processing. OpenNeuro. [Dataset] doi: 10.18112/openneuro.ds000117.v1.0.5
Wakeman, D.G. & Henson, R.N. (2015). A multi-subject, multi-modal human neuroimaging dataset. Sci. Data 2:150001 doi: 10.1038/sdata.2015.1
Useful resources:
SPM Tutorial on event-related fMRI: https://www.fil.ion.ucl.ac.uk/spm/docs/tutorials/fmri/event/
SPM Manual, group face fMRI: https://www.fil.ion.ucl.ac.uk/spm/docs/manual/faces_group/face_group/#introduction
SPM Wikibooks, group analysis: https://en.wikibooks.org/wiki/SPM/Group_Analysis / https://www.fil.ion.ucl.ac.uk/spm/docs/wikibooks/Group_Analysis/
Nipype Documentation: fMRI: Famous vs non-famous faces in SPM: https://nipype.readthedocs.io/en/latest/users/examples/fmri_spm_face.html
Setup Neurodesk#
%%capture
import os
import sys
IN_COLAB = 'google.colab' in sys.modules
if IN_COLAB:
os.environ["LD_PRELOAD"] = "";
os.environ["APPTAINER_BINDPATH"] = "/content,/tmp,/cvmfs"
os.environ["MPLCONFIGDIR"] = "/content/matplotlib-mpldir"
os.environ["LMOD_CMD"] = "/usr/share/lmod/lmod/libexec/lmod"
!curl -J -O https://raw.githubusercontent.com/NeuroDesk/neurocommand/main/googlecolab_setup.sh
!chmod +x googlecolab_setup.sh
!./googlecolab_setup.sh
os.environ["MODULEPATH"] = ':'.join(map(str, list(map(lambda x: os.path.join(os.path.abspath('/cvmfs/neurodesk.ardc.edu.au/neurodesk-modules/'), x),os.listdir('/cvmfs/neurodesk.ardc.edu.au/neurodesk-modules/')))))
# Output CPU information:
!cat /proc/cpuinfo | grep 'vendor' | uniq
!cat /proc/cpuinfo | grep 'model name' | uniq
vendor_id : AuthenticAMD
model name : AMD EPYC-Rome Processor
Introduction#
The fMRI dataset used for this example is part of a multi-subject, multi-modal (sMRI, fMRI, MEG, EEG) neuroimaging dataset on face processing. It contains data in BIDS format on sixteen healthy volunteers. The data was recoreded while the volunteers performed multiple runs of hundreds of trials of a simple perceptual task on pictures of familiar, unfamiliar and scrambled faces during two visits to the laboratory.
The facial stimuli consisted of two groups of 300 greyscale photos, half of which were of famous people and half of which were of non-famous people (unknown to the participants). Each scrambled face was created either from the famous face or the non-famous face of the same stimulus number. Additionally, each image was presented twice to the participants. The second presentation occurred either immediately after the first presentation (Immediate Repeats) or after 5–15 intervening stimuli (Delayed Repeats), with 50% of each type of repeat. To ensure that each stimulus received equal attention, participants were instructed to use their left or right index finger to press one of two keys (assignment counter-balanced across participants). They determined the symmetry of each image by pressing a key based on whether they perceived it to be ‘more’ or ‘less symmetric’ than average.
In the original paper (Wakeman & Henson, 2015), the repetition manipulation was not distinguished, meaning that initial and repeated presentations were treated identically without considering the timing of the repeats.
To illustrate the setup of a 3x2 factorial design analysis (familiar vs. unfamiliar vs. scrambled faces) x (1st vs. 2nd presentation) in an SPM Nipype workflow, the event files will be adapted accordingly. Each stimulus type will be labeled as either the first or second presentation. However, for simplicity, no distinction is made between immediate and delayed repetitions, resulting in 6 stimulus types (conditions): Familiar-Rep1 (F1), Familiar-Rep2 (F2), Unfamiliar-Rep1 (U1), Unfamiliar-Rep2 (U2), Scrambled-Rep1 (S1), and Scrambled-Rep2 (S2).
Examples of a familiar, unfamiliar and scrambled face:
PATTERN_STIMULI = "stimuli/func/*001.bmp"
!datalad install https://github.com/OpenNeuroDatasets/ds000117.git
!cd ds000117 && datalad get $PATTERN_STIMULI
It is highly recommended to configure Git before using DataLad. Set both 'user.name' and 'user.email' configuration variables.
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[INFO ] scanning for unlocked files (this may take some time)
[INFO ] Remote origin not usable by git-annex; setting annex-ignore
[INFO ] access to 1 dataset sibling s3-PRIVATE not auto-enabled, enable with:
| datalad siblings -d "/storage/tmp/tmp7ql6rn7s/ds000117" enable -s s3-PRIVATE
install(ok): /storage/tmp/tmp7ql6rn7s/ds000117 (dataset)
It is highly recommended to configure Git before using DataLad. Set both 'user.name' and 'user.email' configuration variables.
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get(ok): stimuli/func/f001.bmp (file)
get(ok): stimuli/func/s001.bmp (file)
get(ok): stimuli/func/ps001.bmp (file)
get(ok): stimuli/func/u001.bmp (file)
get(ok): stimuli/func/pf001.bmp (file)
get(ok): stimuli/func/pu001.bmp (file)
action summary:
get (ok: 6)
import matplotlib.pyplot as plt
from matplotlib.image import imread
# Load the .bmp images
familiar = imread('ds000117/stimuli/func/f001.bmp')
unfamiliar = imread('ds000117/stimuli/func/u001.bmp')
scrambled = imread('ds000117/stimuli/func/s001.bmp')
# Create a Matplotlib figure with subplots
fig, axes = plt.subplots(1, 3, figsize=(12, 4))
# Plot each image on a subplot
axes[0].imshow(familiar, cmap='gray')
axes[0].set_title('Familiar face')
axes[0].axis('off')
axes[1].imshow(unfamiliar, cmap='gray')
axes[1].set_title('Unfamiliar face')
axes[1].axis('off')
axes[2].imshow(scrambled, cmap='gray')
axes[2].set_title('Scrambled face')
axes[2].axis('off')
plt.tight_layout()
plt.show()
Download Data and install Python modules#
# get func data of the mri session of 9 individuals
PATTERN = "sub-0*/ses-mri/func"
!datalad install https://github.com/OpenNeuroDatasets/ds000117.git
!cd ds000117 && datalad get $PATTERN
It is highly recommended to configure Git before using DataLad. Set both 'user.name' and 'user.email' configuration variables.
It is highly recommended to configure Git before using DataLad. Set both 'user.name' and 'user.email' configuration variables.
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Total: 4%|▉ | 108M/2.93G [00:24<10:51, 4.34M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 0%| | 0.00/36.1M [00:00<?, ? Bytes/s]
Get sub-04/s .. _bold.nii.gz: 8%|▏ | 2.71M/36.1M [00:00<00:02, 13.6M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 11%|▎ | 4.09M/36.1M [00:00<00:02, 13.7M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 16%|▍ | 5.86M/36.1M [00:00<00:02, 10.9M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 23%|▋ | 8.38M/36.1M [00:00<00:02, 11.3M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 29%|▊ | 10.4M/36.1M [00:00<00:02, 10.6M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 35%|█ | 12.7M/36.1M [00:01<00:02, 10.6M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 41%|█▏ | 14.8M/36.1M [00:01<00:02, 10.4M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 47%|█▍ | 17.0M/36.1M [00:01<00:01, 10.4M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 54%|█▌ | 19.4M/36.1M [00:01<00:01, 10.5M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 60%|█▊ | 21.6M/36.1M [00:02<00:01, 10.4M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 66%|█▉ | 23.8M/36.1M [00:02<00:01, 10.5M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 72%|██▏| 26.0M/36.1M [00:02<00:00, 10.3M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 78%|██▎| 28.2M/36.1M [00:02<00:00, 10.3M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 84%|██▌| 30.5M/36.1M [00:02<00:00, 10.4M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 91%|██▋| 32.7M/36.1M [00:03<00:00, 10.4M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 97%|██▉| 34.9M/36.1M [00:03<00:00, 10.3M Bytes/s]
Total: 5%|█▎ | 144M/2.93G [00:28<09:18, 4.99M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 0%| | 0.00/36.1M [00:00<?, ? Bytes/s]
Get sub-04/s .. _bold.nii.gz: 7%|▏ | 2.50M/36.1M [00:00<00:02, 12.6M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 11%|▎ | 3.94M/36.1M [00:00<00:02, 13.3M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 17%|▍ | 6.00M/36.1M [00:00<00:02, 11.3M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 23%|▋ | 8.46M/36.1M [00:00<00:02, 11.3M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 30%|▉ | 10.7M/36.1M [00:00<00:02, 11.0M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 36%|█ | 13.1M/36.1M [00:01<00:02, 11.0M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 43%|█▎ | 15.5M/36.1M [00:01<00:01, 11.1M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 50%|█▍ | 17.9M/36.1M [00:01<00:01, 11.1M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 56%|█▋ | 20.1M/36.1M [00:01<00:01, 10.9M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 62%|█▊ | 22.5M/36.1M [00:02<00:01, 11.0M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 69%|██ | 24.8M/36.1M [00:02<00:01, 10.9M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 76%|██▎| 27.3M/36.1M [00:02<00:00, 11.0M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 82%|██▍| 29.5M/36.1M [00:02<00:00, 10.8M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 89%|██▋| 31.9M/36.1M [00:02<00:00, 11.0M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 95%|██▊| 34.2M/36.1M [00:03<00:00, 10.9M Bytes/s]
Total: 6%|█▋ | 180M/2.93G [00:32<08:19, 5.51M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 0%| | 0.00/36.1M [00:00<?, ? Bytes/s]
Get sub-04/s .. _bold.nii.gz: 8%|▏ | 2.83M/36.1M [00:00<00:02, 14.2M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 12%|▎ | 4.25M/36.1M [00:00<00:02, 14.1M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 17%|▍ | 6.00M/36.1M [00:00<00:02, 10.9M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 23%|▋ | 8.44M/36.1M [00:00<00:02, 11.1M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 29%|▊ | 10.4M/36.1M [00:00<00:02, 10.4M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 35%|█ | 12.6M/36.1M [00:01<00:02, 10.2M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 41%|█▏ | 14.8M/36.1M [00:01<00:02, 10.3M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 47%|█▍ | 16.8M/36.1M [00:01<00:01, 10.0M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 53%|█▌ | 19.0M/36.1M [00:01<00:01, 10.0M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 59%|█▊ | 21.2M/36.1M [00:02<00:01, 10.1M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 65%|█▉ | 23.3M/36.1M [00:02<00:01, 10.1M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 71%|██ | 25.5M/36.1M [00:02<00:01, 10.0M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 77%|██▎| 27.7M/36.1M [00:02<00:00, 10.1M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 83%|██▍| 29.9M/36.1M [00:02<00:00, 10.2M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 89%|██▋| 32.0M/36.1M [00:03<00:00, 10.1M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 95%|██▊| 34.3M/36.1M [00:03<00:00, 10.2M Bytes/s]
Total: 7%|█▉ | 216M/2.93G [00:36<07:42, 5.88M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 0%| | 0.00/36.1M [00:00<?, ? Bytes/s]
Get sub-04/s .. _bold.nii.gz: 8%|▏ | 2.81M/36.1M [00:00<00:02, 14.0M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 12%|▎ | 4.24M/36.1M [00:00<00:02, 14.1M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 17%|▍ | 5.99M/36.1M [00:00<00:02, 11.0M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 23%|▋ | 8.37M/36.1M [00:00<00:02, 11.0M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 29%|▊ | 10.4M/36.1M [00:00<00:02, 10.5M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 35%|█ | 12.8M/36.1M [00:01<00:02, 10.6M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 41%|█▏ | 14.9M/36.1M [00:01<00:02, 10.3M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 48%|█▍ | 17.2M/36.1M [00:01<00:01, 10.5M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 53%|█▌ | 19.3M/36.1M [00:01<00:01, 10.2M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 59%|█▊ | 21.5M/36.1M [00:02<00:01, 10.2M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 66%|█▉ | 23.8M/36.1M [00:02<00:01, 10.4M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 72%|██▏| 26.0M/36.1M [00:02<00:00, 10.4M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 75%|██▏| 27.1M/36.1M [00:02<00:00, 10.2M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 79%|██▎| 28.5M/36.1M [00:02<00:00, 10.9M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 86%|██▌| 30.9M/36.1M [00:02<00:00, 11.0M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 92%|██▊| 33.4M/36.1M [00:03<00:00, 11.2M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 99%|██▉| 35.9M/36.1M [00:03<00:00, 11.4M Bytes/s]
Total: 9%|██▎ | 252M/2.93G [00:40<07:12, 6.20M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 0%| | 0.00/36.2M [00:00<?, ? Bytes/s]
Get sub-04/s .. _bold.nii.gz: 7%|▏ | 2.70M/36.2M [00:00<00:02, 13.6M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 12%|▎ | 4.51M/36.2M [00:00<00:02, 10.6M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 16%|▍ | 5.92M/36.2M [00:00<00:02, 11.6M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 23%|▋ | 8.21M/36.2M [00:00<00:02, 11.2M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 28%|▊ | 10.3M/36.2M [00:00<00:02, 10.6M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 35%|█ | 12.5M/36.2M [00:01<00:02, 10.5M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 40%|█▏ | 14.5M/36.2M [00:01<00:02, 10.1M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 47%|█▍ | 16.9M/36.2M [00:01<00:01, 10.4M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 52%|█▌ | 19.0M/36.2M [00:01<00:01, 10.1M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 59%|█▊ | 21.2M/36.2M [00:02<00:01, 10.2M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 65%|█▉ | 23.4M/36.2M [00:02<00:01, 10.2M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 71%|██ | 25.6M/36.2M [00:02<00:01, 10.2M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 77%|██▎| 27.8M/36.2M [00:02<00:00, 10.2M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 83%|██▍| 29.9M/36.2M [00:02<00:00, 10.2M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 89%|██▋| 32.1M/36.2M [00:03<00:00, 10.2M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 95%|██▊| 34.3M/36.2M [00:03<00:00, 10.1M Bytes/s]
Total: 10%|██▋ | 288M/2.93G [00:44<06:50, 6.44M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 0%| | 0.00/36.2M [00:00<?, ? Bytes/s]
Get sub-04/s .. _bold.nii.gz: 8%|▏ | 2.81M/36.2M [00:00<00:02, 14.1M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 13%|▍ | 4.54M/36.2M [00:00<00:02, 10.9M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 17%|▍ | 6.02M/36.2M [00:00<00:02, 12.0M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 23%|▋ | 8.31M/36.2M [00:00<00:02, 11.5M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 29%|▊ | 10.5M/36.2M [00:00<00:02, 10.9M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 35%|█ | 12.7M/36.2M [00:01<00:02, 10.7M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 41%|█▏ | 15.0M/36.2M [00:01<00:02, 10.6M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 47%|█▍ | 17.2M/36.2M [00:01<00:01, 10.5M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 53%|█▌ | 19.3M/36.2M [00:01<00:01, 10.3M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 60%|█▊ | 21.6M/36.2M [00:02<00:01, 10.4M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 66%|█▉ | 23.8M/36.2M [00:02<00:01, 10.4M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 72%|██▏| 25.9M/36.2M [00:02<00:01, 10.2M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 78%|██▎| 28.3M/36.2M [00:02<00:00, 10.4M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 84%|██▌| 30.6M/36.2M [00:02<00:00, 10.5M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 91%|██▋| 32.8M/36.2M [00:03<00:00, 10.4M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 97%|██▉| 35.0M/36.2M [00:03<00:00, 10.4M Bytes/s]
Total: 11%|██▉ | 324M/2.93G [00:48<06:32, 6.64M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 0%| | 0.00/37.0M [00:00<?, ? Bytes/s]
Get sub-01/s .. _bold.nii.gz: 7%|▏ | 2.67M/37.0M [00:00<00:02, 13.4M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 13%|▍ | 4.63M/37.0M [00:00<00:03, 10.4M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 16%|▍ | 6.07M/37.0M [00:00<00:02, 11.5M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 22%|▋ | 8.23M/37.0M [00:00<00:02, 10.8M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 28%|▊ | 10.2M/37.0M [00:00<00:02, 10.2M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 33%|█ | 12.3M/37.0M [00:01<00:02, 10.1M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 39%|█▏ | 14.3M/37.0M [00:01<00:02, 9.83M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 44%|█▎ | 16.4M/37.0M [00:01<00:02, 9.78M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 50%|█▍ | 18.5M/37.0M [00:01<00:01, 9.67M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 56%|█▋ | 20.6M/37.0M [00:02<00:01, 9.71M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 61%|█▊ | 22.6M/37.0M [00:02<00:01, 9.55M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 67%|█▉ | 24.6M/37.0M [00:02<00:01, 9.57M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 72%|██▏| 26.6M/37.0M [00:02<00:01, 9.49M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 78%|██▎| 28.7M/37.0M [00:02<00:00, 9.59M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 83%|██▍| 30.6M/37.0M [00:03<00:00, 9.39M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 89%|██▋| 32.8M/37.0M [00:03<00:00, 9.53M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 94%|██▊| 34.8M/37.0M [00:03<00:00, 9.50M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 100%|██▉| 36.9M/37.0M [00:03<00:00, 9.66M Bytes/s]
Total: 12%|███▎ | 361M/2.93G [00:53<06:18, 6.79M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 0%| | 0.00/37.0M [00:00<?, ? Bytes/s]
Get sub-01/s .. _bold.nii.gz: 7%|▏ | 2.67M/37.0M [00:00<00:02, 13.4M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 11%|▎ | 4.08M/37.0M [00:00<00:02, 13.6M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 16%|▍ | 6.03M/37.0M [00:00<00:02, 10.7M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 22%|▋ | 8.22M/37.0M [00:00<00:02, 10.5M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 28%|▊ | 10.2M/37.0M [00:00<00:02, 10.1M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 33%|▉ | 12.3M/37.0M [00:01<00:02, 9.89M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 38%|█▏ | 14.3M/37.0M [00:01<00:02, 9.65M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 44%|█▎ | 16.3M/37.0M [00:01<00:02, 9.59M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 50%|█▍ | 18.4M/37.0M [00:01<00:01, 9.64M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 55%|█▋ | 20.4M/37.0M [00:02<00:01, 9.61M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 61%|█▊ | 22.4M/37.0M [00:02<00:01, 9.51M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 66%|█▉ | 24.6M/37.0M [00:02<00:01, 9.66M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 72%|██▏| 26.6M/37.0M [00:02<00:01, 9.58M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 77%|██▎| 28.7M/37.0M [00:02<00:00, 9.59M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 83%|██▍| 30.7M/37.0M [00:03<00:00, 9.55M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 88%|██▋| 32.7M/37.0M [00:03<00:00, 9.48M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 94%|██▊| 34.8M/37.0M [00:03<00:00, 9.58M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 100%|██▉| 36.9M/37.0M [00:03<00:00, 9.60M Bytes/s]
Total: 14%|███▋ | 398M/2.93G [00:57<06:06, 6.92M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 0%| | 0.00/37.1M [00:00<?, ? Bytes/s]
Get sub-01/s .. _bold.nii.gz: 8%|▏ | 2.80M/37.1M [00:00<00:02, 14.0M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 12%|▎ | 4.60M/37.1M [00:00<00:02, 11.0M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 16%|▍ | 5.96M/37.1M [00:00<00:02, 11.8M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 22%|▋ | 8.32M/37.1M [00:00<00:02, 11.6M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 28%|▊ | 10.4M/37.1M [00:00<00:02, 10.7M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 34%|█ | 12.6M/37.1M [00:01<00:02, 10.7M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 40%|█▏ | 14.8M/37.1M [00:01<00:02, 10.5M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 46%|█▍ | 17.1M/37.1M [00:01<00:01, 10.6M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 52%|█▌ | 19.4M/37.1M [00:01<00:01, 10.6M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 58%|█▋ | 21.6M/37.1M [00:01<00:01, 10.4M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 64%|█▉ | 23.8M/37.1M [00:02<00:01, 10.4M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 70%|██ | 26.1M/37.1M [00:02<00:01, 10.6M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 76%|██▎| 28.3M/37.1M [00:02<00:00, 10.4M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 82%|██▍| 30.6M/37.1M [00:02<00:00, 10.5M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 88%|██▋| 32.7M/37.1M [00:03<00:00, 10.3M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 94%|██▊| 35.0M/37.1M [00:03<00:00, 10.5M Bytes/s]
Total: 15%|████ | 436M/2.93G [01:01<05:53, 7.07M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 0%| | 0.00/37.2M [00:00<?, ? Bytes/s]
Get sub-01/s .. _bold.nii.gz: 7%|▏ | 2.69M/37.2M [00:00<00:02, 13.5M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 11%|▎ | 4.07M/37.2M [00:00<00:02, 13.6M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 16%|▍ | 5.99M/37.2M [00:00<00:02, 10.6M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 22%|▋ | 8.27M/37.2M [00:00<00:02, 10.6M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 27%|▊ | 10.1M/37.2M [00:00<00:02, 9.84M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 33%|█ | 12.4M/37.2M [00:01<00:02, 10.1M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 39%|█▏ | 14.3M/37.2M [00:01<00:02, 9.71M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 44%|█▎ | 16.5M/37.2M [00:01<00:02, 9.89M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 50%|█▌ | 18.7M/37.2M [00:01<00:01, 9.91M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 55%|█▋ | 20.6M/37.2M [00:02<00:01, 9.60M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 61%|█▊ | 22.8M/37.2M [00:02<00:01, 9.79M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 66%|█▉ | 24.6M/37.2M [00:02<00:01, 9.35M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 69%|██ | 25.6M/37.2M [00:02<00:01, 9.22M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 72%|██▏| 26.9M/37.2M [00:02<00:01, 9.98M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 78%|██▎| 28.9M/37.2M [00:02<00:00, 9.80M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 84%|██▌| 31.2M/37.2M [00:03<00:00, 10.0M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 89%|██▋| 33.1M/37.2M [00:03<00:00, 9.62M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 95%|██▊| 35.3M/37.2M [00:03<00:00, 9.88M Bytes/s]
Total: 16%|████▎ | 473M/2.93G [01:05<05:43, 7.17M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 0%| | 0.00/37.2M [00:00<?, ? Bytes/s]
Get sub-01/s .. _bold.nii.gz: 7%|▏ | 2.65M/37.2M [00:00<00:02, 13.3M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 12%|▎ | 4.51M/37.2M [00:00<00:02, 10.9M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 16%|▍ | 5.90M/37.2M [00:00<00:02, 11.8M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 22%|▋ | 8.11M/37.2M [00:00<00:02, 11.2M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 28%|▊ | 10.3M/37.2M [00:00<00:02, 10.8M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 34%|█ | 12.5M/37.2M [00:01<00:02, 10.6M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 40%|█▏ | 14.8M/37.2M [00:01<00:02, 10.7M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 45%|█▎ | 16.9M/37.2M [00:01<00:01, 10.4M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 52%|█▌ | 19.2M/37.2M [00:01<00:01, 10.4M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 57%|█▋ | 21.4M/37.2M [00:01<00:01, 10.4M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 64%|█▉ | 23.7M/37.2M [00:02<00:01, 10.4M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 70%|██ | 25.9M/37.2M [00:02<00:01, 10.5M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 75%|██▎| 28.1M/37.2M [00:02<00:00, 10.4M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 82%|██▍| 30.4M/37.2M [00:02<00:00, 10.5M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 87%|██▌| 32.6M/37.2M [00:03<00:00, 10.3M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 93%|██▊| 34.8M/37.2M [00:03<00:00, 10.3M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 100%|██▉| 37.1M/37.2M [00:03<00:00, 10.5M Bytes/s]
Total: 17%|████▋ | 510M/2.93G [01:09<05:32, 7.29M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 0%| | 0.00/37.1M [00:00<?, ? Bytes/s]
Get sub-01/s .. _bold.nii.gz: 7%|▏ | 2.70M/37.1M [00:00<00:02, 13.6M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 11%|▎ | 4.12M/37.1M [00:00<00:02, 13.7M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 16%|▍ | 5.94M/37.1M [00:00<00:02, 11.0M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 22%|▋ | 8.26M/37.1M [00:00<00:02, 10.9M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 28%|▊ | 10.4M/37.1M [00:00<00:02, 10.5M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 34%|█ | 12.6M/37.1M [00:01<00:02, 10.4M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 40%|█▏ | 14.8M/37.1M [00:01<00:02, 10.3M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 46%|█▎ | 16.9M/37.1M [00:01<00:01, 10.3M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 52%|█▌ | 19.1M/37.1M [00:01<00:01, 10.2M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 57%|█▋ | 21.3M/37.1M [00:02<00:01, 10.2M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 63%|█▉ | 23.4M/37.1M [00:02<00:01, 10.1M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 69%|██ | 25.6M/37.1M [00:02<00:01, 10.1M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 75%|██▏| 27.7M/37.1M [00:02<00:00, 10.0M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 81%|██▍| 29.9M/37.1M [00:02<00:00, 10.1M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 87%|██▌| 32.1M/37.1M [00:03<00:00, 10.2M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 92%|██▊| 34.2M/37.1M [00:03<00:00, 10.0M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 98%|██▉| 36.5M/37.1M [00:03<00:00, 10.2M Bytes/s]
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Get sub-01/s .. _bold.nii.gz: 7%|▏ | 2.59M/37.1M [00:00<00:02, 13.0M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 11%|▎ | 3.95M/37.1M [00:00<00:02, 13.2M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 16%|▍ | 5.91M/37.1M [00:00<00:02, 10.7M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 22%|▋ | 8.10M/37.1M [00:00<00:02, 10.5M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 27%|▊ | 10.2M/37.1M [00:00<00:02, 10.2M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 33%|▉ | 12.3M/37.1M [00:01<00:02, 10.0M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 39%|█▏ | 14.4M/37.1M [00:01<00:02, 9.98M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 45%|█▎ | 16.5M/37.1M [00:01<00:02, 9.97M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 50%|█▌ | 18.6M/37.1M [00:01<00:01, 9.80M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 56%|█▋ | 20.8M/37.1M [00:02<00:01, 9.91M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 61%|█▊ | 22.8M/37.1M [00:02<00:01, 9.78M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 67%|██ | 24.9M/37.1M [00:02<00:01, 9.86M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 73%|██▏| 26.9M/37.1M [00:02<00:01, 9.68M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 78%|██▎| 29.1M/37.1M [00:02<00:00, 9.79M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 84%|██▌| 31.2M/37.1M [00:03<00:00, 9.76M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 90%|██▋| 33.4M/37.1M [00:03<00:00, 9.94M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 96%|██▊| 35.4M/37.1M [00:03<00:00, 9.82M Bytes/s]
Total: 20%|█████▍ | 584M/2.93G [01:18<05:15, 7.45M Bytes/s]
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Get sub-01/s .. _bold.nii.gz: 7%|▏ | 2.73M/37.1M [00:00<00:02, 13.8M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 12%|▎ | 4.54M/37.1M [00:00<00:02, 11.0M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 16%|▍ | 6.08M/37.1M [00:00<00:02, 12.2M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 22%|▋ | 8.25M/37.1M [00:00<00:02, 11.3M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 28%|▊ | 10.4M/37.1M [00:00<00:02, 10.9M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 34%|█ | 12.7M/37.1M [00:01<00:02, 10.7M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 40%|█▏ | 14.9M/37.1M [00:01<00:02, 10.5M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 46%|█▍ | 17.1M/37.1M [00:01<00:01, 10.5M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 52%|█▌ | 19.5M/37.1M [00:01<00:01, 10.6M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 58%|█▋ | 21.6M/37.1M [00:01<00:01, 10.4M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 64%|█▉ | 23.9M/37.1M [00:02<00:01, 10.5M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 71%|██ | 26.2M/37.1M [00:02<00:01, 10.6M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 77%|██▎| 28.4M/37.1M [00:02<00:00, 10.5M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 83%|██▍| 30.8M/37.1M [00:02<00:00, 10.6M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 89%|██▋| 33.0M/37.1M [00:03<00:00, 10.6M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 95%|██▊| 35.3M/37.1M [00:03<00:00, 10.6M Bytes/s]
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Get sub-01/s .. _bold.nii.gz: 7%|▏ | 2.69M/37.0M [00:00<00:02, 13.5M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 11%|▎ | 4.06M/37.0M [00:00<00:02, 13.5M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 16%|▍ | 5.97M/37.0M [00:00<00:02, 10.8M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 22%|▋ | 8.28M/37.0M [00:00<00:02, 10.8M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 27%|▊ | 10.2M/37.0M [00:00<00:02, 9.97M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 33%|█ | 12.3M/37.0M [00:01<00:02, 10.1M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 39%|█▏ | 14.4M/37.0M [00:01<00:02, 9.90M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 45%|█▎ | 16.5M/37.0M [00:01<00:02, 9.81M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 50%|█▌ | 18.7M/37.0M [00:01<00:01, 9.93M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 56%|█▋ | 20.8M/37.0M [00:02<00:01, 9.92M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 62%|█▊ | 22.8M/37.0M [00:02<00:01, 9.82M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 68%|██ | 25.1M/37.0M [00:02<00:01, 10.0M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 73%|██▏| 27.1M/37.0M [00:02<00:01, 9.81M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 79%|██▎| 29.3M/37.0M [00:02<00:00, 9.89M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 85%|██▌| 31.4M/37.0M [00:03<00:00, 9.85M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 90%|██▋| 33.5M/37.0M [00:03<00:00, 9.82M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 96%|██▉| 35.5M/37.0M [00:03<00:00, 9.72M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 0%| | 0.00/35.3M [00:00<?, ? Bytes/s]
Get sub-05/s .. _bold.nii.gz: 8%|▏ | 2.77M/35.3M [00:00<00:02, 13.8M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 12%|▎ | 4.20M/35.3M [00:00<00:02, 14.0M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 17%|▌ | 6.11M/35.3M [00:00<00:02, 11.6M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 23%|▋ | 8.24M/35.3M [00:00<00:02, 11.0M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 29%|▊ | 10.1M/35.3M [00:00<00:02, 10.2M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 32%|▉ | 11.2M/35.3M [00:01<00:02, 10.0M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 35%|█ | 12.5M/35.3M [00:01<00:02, 10.5M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 41%|█▏ | 14.6M/35.3M [00:01<00:02, 10.3M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 44%|█▎ | 15.7M/35.3M [00:01<00:01, 10.1M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 48%|█▍ | 16.9M/35.3M [00:01<00:01, 10.5M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 54%|█▌ | 19.1M/35.3M [00:01<00:01, 10.4M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 60%|█▊ | 21.3M/35.3M [00:01<00:01, 10.5M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 67%|██ | 23.6M/35.3M [00:02<00:01, 10.4M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 73%|██▏| 25.8M/35.3M [00:02<00:00, 10.4M Bytes/s]
Total: 22%|██████ | 658M/2.93G [01:30<05:11, 7.31M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 80%|██▍| 28.1M/35.3M [00:02<00:00, 10.5M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 86%|██▌| 30.4M/35.3M [00:02<00:00, 10.6M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 92%|██▊| 32.6M/35.3M [00:03<00:00, 10.4M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 99%|██▉| 34.8M/35.3M [00:03<00:00, 10.4M Bytes/s]
Total: 24%|██████▍ | 693M/2.93G [01:30<04:53, 7.62M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 0%| | 0.00/35.4M [00:00<?, ? Bytes/s]
Get sub-05/s .. _bold.nii.gz: 8%|▏ | 2.70M/35.4M [00:00<00:02, 13.5M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 12%|▎ | 4.13M/35.4M [00:00<00:02, 13.8M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 17%|▌ | 5.93M/35.4M [00:00<00:02, 10.8M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 23%|▋ | 8.27M/35.4M [00:00<00:02, 10.8M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 29%|▊ | 10.3M/35.4M [00:00<00:02, 10.2M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 35%|█ | 12.4M/35.4M [00:01<00:02, 10.0M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 40%|█▏ | 14.3M/35.4M [00:01<00:02, 9.69M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 47%|█▍ | 16.6M/35.4M [00:01<00:01, 10.1M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 52%|█▌ | 18.5M/35.4M [00:01<00:01, 9.60M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 59%|█▊ | 20.8M/35.4M [00:02<00:01, 10.0M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 65%|█▉ | 22.9M/35.4M [00:02<00:01, 9.94M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 71%|██▏| 25.1M/35.4M [00:02<00:01, 9.96M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 77%|██▎| 27.2M/35.4M [00:02<00:00, 9.90M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 83%|██▍| 29.4M/35.4M [00:02<00:00, 10.1M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 89%|██▋| 31.5M/35.4M [00:03<00:00, 9.96M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 95%|██▊| 33.7M/35.4M [00:03<00:00, 10.1M Bytes/s]
Total: 25%|██████▋ | 729M/2.93G [01:35<04:47, 7.67M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 0%| | 0.00/35.4M [00:00<?, ? Bytes/s]
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Get sub-05/s .. _bold.nii.gz: 12%|▎ | 4.32M/35.4M [00:00<00:02, 14.4M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 17%|▌ | 5.95M/35.4M [00:00<00:02, 11.0M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 23%|▋ | 8.26M/35.4M [00:00<00:02, 10.9M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 29%|▉ | 10.4M/35.4M [00:00<00:02, 10.6M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 35%|█ | 12.5M/35.4M [00:01<00:02, 10.3M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 42%|█▎ | 14.8M/35.4M [00:01<00:01, 10.4M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 48%|█▍ | 16.9M/35.4M [00:01<00:01, 10.1M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 54%|█▋ | 19.2M/35.4M [00:01<00:01, 10.3M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 60%|█▊ | 21.4M/35.4M [00:02<00:01, 10.3M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 67%|█▉ | 23.6M/35.4M [00:02<00:01, 10.3M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 73%|██▏| 25.7M/35.4M [00:02<00:00, 10.2M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 79%|██▎| 27.9M/35.4M [00:02<00:00, 10.2M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 85%|██▌| 30.2M/35.4M [00:02<00:00, 10.3M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 91%|██▋| 32.3M/35.4M [00:03<00:00, 10.2M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 97%|██▉| 34.5M/35.4M [00:03<00:00, 10.2M Bytes/s]
Total: 26%|███████ | 764M/2.93G [01:39<04:41, 7.71M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 0%| | 0.00/35.5M [00:00<?, ? Bytes/s]
Get sub-05/s .. _bold.nii.gz: 8%|▏ | 2.75M/35.5M [00:00<00:02, 13.8M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 12%|▎ | 4.15M/35.5M [00:00<00:02, 13.8M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 17%|▌ | 6.06M/35.5M [00:00<00:02, 11.5M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 23%|▋ | 8.34M/35.5M [00:00<00:02, 11.4M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 30%|▉ | 10.5M/35.5M [00:00<00:02, 10.9M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 36%|█ | 12.9M/35.5M [00:01<00:02, 11.0M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 43%|█▎ | 15.2M/35.5M [00:01<00:01, 10.9M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 49%|█▍ | 17.5M/35.5M [00:01<00:01, 10.9M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 56%|█▋ | 19.8M/35.5M [00:01<00:01, 10.8M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 62%|█▊ | 22.1M/35.5M [00:01<00:01, 10.9M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 68%|██ | 24.3M/35.5M [00:02<00:01, 10.6M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 71%|██▏| 25.4M/35.5M [00:02<00:00, 10.4M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 75%|██▏| 26.6M/35.5M [00:02<00:00, 10.8M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 81%|██▍| 28.8M/35.5M [00:02<00:00, 10.6M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 88%|██▋| 31.3M/35.5M [00:02<00:00, 10.9M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 95%|██▊| 33.7M/35.5M [00:03<00:00, 10.9M Bytes/s]
Total: 27%|███████▎ | 800M/2.93G [01:42<04:34, 7.77M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 0%| | 0.00/35.6M [00:00<?, ? Bytes/s]
Get sub-05/s .. _bold.nii.gz: 9%|▎ | 3.15M/35.6M [00:00<00:02, 15.4M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 15%|▍ | 5.29M/35.6M [00:00<00:02, 12.6M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 21%|▋ | 7.44M/35.6M [00:00<00:02, 11.8M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 24%|▋ | 8.68M/35.6M [00:00<00:02, 11.9M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 31%|▉ | 11.0M/35.6M [00:00<00:02, 11.7M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 37%|█ | 13.2M/35.6M [00:01<00:01, 11.3M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 45%|█▎ | 15.9M/35.6M [00:01<00:01, 12.1M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 50%|█▍ | 17.7M/35.6M [00:01<00:01, 10.9M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 53%|█▌ | 19.0M/35.6M [00:01<00:01, 11.3M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 57%|█▋ | 20.3M/35.6M [00:01<00:01, 11.7M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 64%|█▉ | 22.7M/35.6M [00:01<00:01, 11.3M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 67%|██ | 23.9M/35.6M [00:02<00:01, 11.0M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 71%|██▏| 25.3M/35.6M [00:02<00:00, 11.6M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 78%|██▎| 27.7M/35.6M [00:02<00:00, 11.4M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 85%|██▌| 30.1M/35.6M [00:02<00:00, 11.4M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 91%|██▋| 32.3M/35.6M [00:02<00:00, 11.0M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 97%|██▉| 34.5M/35.6M [00:03<00:00, 10.9M Bytes/s]
Total: 28%|███████▋ | 835M/2.93G [01:46<04:27, 7.84M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 0%| | 0.00/35.6M [00:00<?, ? Bytes/s]
Get sub-05/s .. _bold.nii.gz: 7%|▏ | 2.57M/35.6M [00:00<00:02, 12.9M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 11%|▎ | 3.92M/35.6M [00:00<00:02, 13.0M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 16%|▍ | 5.76M/35.6M [00:00<00:02, 10.9M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 23%|▋ | 8.20M/35.6M [00:00<00:02, 11.0M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 29%|▊ | 10.3M/35.6M [00:00<00:02, 10.6M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 36%|█ | 12.7M/35.6M [00:01<00:02, 10.8M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 41%|█▏ | 14.8M/35.6M [00:01<00:01, 10.4M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 48%|█▍ | 17.0M/35.6M [00:01<00:01, 10.5M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 54%|█▌ | 19.1M/35.6M [00:01<00:01, 10.2M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 60%|█▊ | 21.5M/35.6M [00:02<00:01, 10.5M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 66%|█▉ | 23.5M/35.6M [00:02<00:01, 10.2M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 73%|██▏| 25.9M/35.6M [00:02<00:00, 10.4M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 79%|██▎| 28.1M/35.6M [00:02<00:00, 10.4M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 85%|██▌| 30.3M/35.6M [00:02<00:00, 10.4M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 91%|██▋| 32.6M/35.6M [00:03<00:00, 10.4M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 98%|██▉| 34.8M/35.6M [00:03<00:00, 10.4M Bytes/s]
Total: 30%|████████ | 871M/2.93G [01:50<04:21, 7.89M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 0%| | 0.00/35.7M [00:00<?, ? Bytes/s]
Get sub-05/s .. _bold.nii.gz: 7%|▏ | 2.64M/35.7M [00:00<00:02, 13.2M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 12%|▎ | 4.12M/35.7M [00:00<00:02, 13.8M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 17%|▌ | 6.07M/35.7M [00:00<00:02, 10.8M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 24%|▋ | 8.48M/35.7M [00:00<00:02, 11.0M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 29%|▊ | 10.4M/35.7M [00:00<00:02, 10.1M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 36%|█ | 12.7M/35.7M [00:01<00:02, 10.4M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 41%|█▏ | 14.8M/35.7M [00:01<00:02, 10.1M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 48%|█▍ | 17.0M/35.7M [00:01<00:01, 10.3M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 54%|█▌ | 19.1M/35.7M [00:01<00:01, 10.1M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 60%|█▊ | 21.4M/35.7M [00:02<00:01, 10.2M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 66%|█▉ | 23.5M/35.7M [00:02<00:01, 10.1M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 72%|██▏| 25.7M/35.7M [00:02<00:00, 10.2M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 78%|██▎| 27.8M/35.7M [00:02<00:00, 10.1M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 84%|██▌| 30.0M/35.7M [00:02<00:00, 10.1M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 90%|██▋| 32.1M/35.7M [00:03<00:00, 9.98M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 96%|██▉| 34.4M/35.7M [00:03<00:00, 10.2M Bytes/s]
Total: 31%|████████▎ | 907M/2.93G [01:54<04:15, 7.92M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 0%| | 0.00/35.7M [00:00<?, ? Bytes/s]
Get sub-05/s .. _bold.nii.gz: 8%|▏ | 2.72M/35.7M [00:00<00:02, 13.7M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 13%|▍ | 4.54M/35.7M [00:00<00:02, 10.7M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 20%|▌ | 7.02M/35.7M [00:00<00:02, 11.1M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 24%|▋ | 8.41M/35.7M [00:00<00:02, 11.8M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 30%|▉ | 10.5M/35.7M [00:00<00:02, 11.0M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 36%|█ | 12.9M/35.7M [00:01<00:02, 10.9M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 43%|█▎ | 15.2M/35.7M [00:01<00:01, 10.9M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 49%|█▍ | 17.4M/35.7M [00:01<00:01, 10.8M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 58%|█▋ | 20.6M/35.7M [00:01<00:01, 12.0M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 65%|█▉ | 23.1M/35.7M [00:02<00:01, 10.2M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 71%|██▏| 25.5M/35.7M [00:02<00:00, 10.5M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 78%|██▎| 27.9M/35.7M [00:02<00:00, 12.6M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 85%|██▌| 30.3M/35.7M [00:02<00:00, 12.0M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 91%|██▋| 32.7M/35.7M [00:02<00:00, 11.8M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 97%|██▉| 34.6M/35.7M [00:03<00:00, 10.9M Bytes/s]
Total: 32%|████████▋ | 942M/2.93G [01:58<04:09, 7.97M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 0%| | 0.00/35.7M [00:00<?, ? Bytes/s]
Get sub-05/s .. _bold.nii.gz: 7%|▏ | 2.58M/35.7M [00:00<00:02, 12.9M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 13%|▍ | 4.60M/35.7M [00:00<00:03, 10.3M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 17%|▍ | 5.93M/35.7M [00:00<00:02, 11.1M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 23%|▋ | 8.04M/35.7M [00:00<00:02, 10.5M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 28%|▊ | 10.0M/35.7M [00:00<00:02, 10.0M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 34%|█ | 12.1M/35.7M [00:01<00:02, 9.88M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 40%|█▏ | 14.1M/35.7M [00:01<00:02, 9.66M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 45%|█▎ | 16.2M/35.7M [00:01<00:02, 9.62M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 51%|█▌ | 18.1M/35.7M [00:01<00:01, 9.49M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 57%|█▋ | 20.3M/35.7M [00:02<00:01, 9.63M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 62%|█▊ | 22.2M/35.7M [00:02<00:01, 9.45M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 68%|██ | 24.3M/35.7M [00:02<00:01, 9.48M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 73%|██▏| 26.3M/35.7M [00:02<00:01, 9.41M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 80%|██▍| 28.4M/35.7M [00:02<00:00, 9.62M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 85%|██▌| 30.4M/35.7M [00:03<00:00, 9.51M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 91%|██▋| 32.5M/35.7M [00:03<00:00, 9.54M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 97%|██▉| 34.5M/35.7M [00:03<00:00, 9.56M Bytes/s]
Total: 33%|█████████ | 978M/2.93G [02:02<04:05, 7.97M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 0%| | 0.00/36.4M [00:00<?, ? Bytes/s]
Get sub-03/s .. _bold.nii.gz: 8%|▏ | 2.76M/36.4M [00:00<00:02, 13.8M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 11%|▎ | 4.17M/36.4M [00:00<00:02, 14.0M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 16%|▍ | 5.99M/36.4M [00:00<00:02, 11.3M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 22%|▋ | 8.14M/36.4M [00:00<00:02, 10.8M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 28%|▊ | 10.2M/36.4M [00:00<00:02, 10.4M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 34%|█ | 12.4M/36.4M [00:01<00:02, 10.4M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 40%|█▏ | 14.6M/36.4M [00:01<00:02, 10.2M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 46%|█▍ | 16.8M/36.4M [00:01<00:01, 10.2M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 52%|█▌ | 19.0M/36.4M [00:01<00:01, 10.2M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 58%|█▋ | 21.1M/36.4M [00:01<00:01, 10.1M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 64%|█▉ | 23.2M/36.4M [00:02<00:01, 10.1M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 70%|██ | 25.5M/36.4M [00:02<00:01, 10.2M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 76%|██▎| 27.7M/36.4M [00:02<00:00, 10.2M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 82%|██▍| 29.7M/36.4M [00:02<00:00, 10.0M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 88%|██▋| 32.0M/36.4M [00:03<00:00, 10.1M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 94%|██▊| 34.1M/36.4M [00:03<00:00, 10.0M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 97%|██▉| 35.2M/36.4M [00:03<00:00, 10.0M Bytes/s]
Total: 35%|████████▉ | 1.01G/2.93G [02:06<03:59, 8.01M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 0%| | 0.00/36.5M [00:00<?, ? Bytes/s]
Get sub-03/s .. _bold.nii.gz: 8%|▏ | 2.93M/36.5M [00:00<00:02, 14.7M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 12%|▎ | 4.43M/36.5M [00:00<00:02, 14.8M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 17%|▍ | 6.07M/36.5M [00:00<00:02, 11.2M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 23%|▋ | 8.28M/36.5M [00:00<00:02, 10.9M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 28%|▊ | 10.3M/36.5M [00:00<00:02, 10.3M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 34%|█ | 12.6M/36.5M [00:01<00:02, 10.4M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 40%|█▏ | 14.7M/36.5M [00:01<00:02, 10.2M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 46%|█▍ | 16.9M/36.5M [00:01<00:01, 10.2M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 52%|█▌ | 19.1M/36.5M [00:01<00:01, 10.2M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 58%|█▋ | 21.3M/36.5M [00:02<00:01, 10.2M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 64%|█▉ | 23.4M/36.5M [00:02<00:01, 10.1M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 70%|██ | 25.5M/36.5M [00:02<00:01, 10.0M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 76%|██▎| 27.7M/36.5M [00:02<00:00, 10.0M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 81%|██▍| 29.7M/36.5M [00:02<00:00, 9.87M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 88%|██▋| 32.0M/36.5M [00:03<00:00, 10.1M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 93%|██▊| 34.1M/36.5M [00:03<00:00, 10.0M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 99%|██▉| 36.3M/36.5M [00:03<00:00, 9.99M Bytes/s]
Total: 36%|█████████▎ | 1.05G/2.93G [02:10<03:54, 8.04M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 0%| | 0.00/36.6M [00:00<?, ? Bytes/s]
Get sub-03/s .. _bold.nii.gz: 7%|▏ | 2.67M/36.6M [00:00<00:02, 13.4M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 11%|▎ | 4.08M/36.6M [00:00<00:02, 13.7M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 16%|▍ | 5.98M/36.6M [00:00<00:02, 10.6M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 23%|▋ | 8.36M/36.6M [00:00<00:02, 10.8M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 28%|▊ | 10.3M/36.6M [00:00<00:02, 10.1M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 34%|█ | 12.5M/36.6M [00:01<00:02, 10.3M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 40%|█▏ | 14.5M/36.6M [00:01<00:02, 9.84M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 45%|█▎ | 16.6M/36.6M [00:01<00:02, 9.90M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 51%|█▌ | 18.7M/36.6M [00:01<00:01, 9.84M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 57%|█▋ | 20.8M/36.6M [00:02<00:01, 9.86M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 63%|█▉ | 23.0M/36.6M [00:02<00:01, 9.88M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 69%|██ | 25.1M/36.6M [00:02<00:01, 9.92M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 74%|██▏| 27.2M/36.6M [00:02<00:00, 9.89M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 80%|██▍| 29.3M/36.6M [00:02<00:00, 9.86M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 86%|██▌| 31.5M/36.6M [00:03<00:00, 9.89M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 92%|██▊| 33.6M/36.6M [00:03<00:00, 9.83M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 97%|██▉| 35.6M/36.6M [00:03<00:00, 9.80M Bytes/s]
Total: 37%|█████████▋ | 1.09G/2.93G [02:14<03:49, 8.06M Bytes/s]
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Get sub-03/s .. _bold.nii.gz: 8%|▏ | 2.83M/36.6M [00:00<00:02, 14.2M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 12%|▎ | 4.24M/36.6M [00:00<00:02, 14.2M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 16%|▍ | 5.98M/36.6M [00:00<00:02, 11.0M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 23%|▋ | 8.34M/36.6M [00:00<00:02, 11.0M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 28%|▊ | 10.3M/36.6M [00:00<00:02, 10.3M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 34%|█ | 12.6M/36.6M [00:01<00:02, 10.4M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 40%|█▏ | 14.8M/36.6M [00:01<00:02, 10.3M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 46%|█▍ | 16.9M/36.6M [00:01<00:01, 10.2M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 52%|█▌ | 19.1M/36.6M [00:01<00:01, 10.2M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 58%|█▋ | 21.2M/36.6M [00:02<00:01, 10.1M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 64%|█▉ | 23.4M/36.6M [00:02<00:01, 10.1M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 70%|██ | 25.6M/36.6M [00:02<00:01, 10.2M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 76%|██▎| 27.7M/36.6M [00:02<00:00, 10.1M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 82%|██▍| 29.9M/36.6M [00:02<00:00, 10.2M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 88%|██▋| 32.1M/36.6M [00:03<00:00, 10.2M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 94%|██▊| 34.3M/36.6M [00:03<00:00, 10.1M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 100%|██▉| 36.5M/36.6M [00:03<00:00, 10.2M Bytes/s]
Total: 38%|█████████▉ | 1.12G/2.93G [02:18<03:43, 8.09M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 0%| | 0.00/36.5M [00:00<?, ? Bytes/s]
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Get sub-03/s .. _bold.nii.gz: 28%|▊ | 10.2M/36.5M [00:00<00:02, 10.0M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 34%|█ | 12.3M/36.5M [00:01<00:02, 9.93M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 40%|█▏ | 14.5M/36.5M [00:01<00:02, 10.0M Bytes/s]
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Get sub-03/s .. _bold.nii.gz: 74%|██▏| 27.1M/36.5M [00:02<00:00, 9.75M Bytes/s]
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Get sub-03/s .. _bold.nii.gz: 99%|██▉| 36.1M/36.5M [00:03<00:00, 10.1M Bytes/s]
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Get sub-03/s .. _bold.nii.gz: 13%|▍ | 4.60M/36.5M [00:00<00:03, 10.6M Bytes/s]
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Get sub-03/s .. _bold.nii.gz: 23%|▋ | 8.40M/36.5M [00:00<00:02, 11.6M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 28%|▊ | 10.4M/36.5M [00:00<00:02, 10.6M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 35%|█ | 12.8M/36.5M [00:01<00:02, 10.7M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 41%|█▏ | 14.8M/36.5M [00:01<00:02, 10.3M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 47%|█▍ | 17.0M/36.5M [00:01<00:01, 10.3M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 52%|█▌ | 19.1M/36.5M [00:01<00:01, 10.1M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 59%|█▊ | 21.4M/36.5M [00:02<00:01, 10.3M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 65%|█▉ | 23.6M/36.5M [00:02<00:01, 10.2M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 70%|██ | 25.7M/36.5M [00:02<00:01, 10.2M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 76%|██▎| 27.9M/36.5M [00:02<00:00, 10.2M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 82%|██▍| 30.1M/36.5M [00:02<00:00, 10.1M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 88%|██▋| 32.2M/36.5M [00:03<00:00, 10.1M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 94%|██▊| 34.4M/36.5M [00:03<00:00, 10.1M Bytes/s]
Total: 41%|██████████▌ | 1.20G/2.93G [02:27<03:33, 8.13M Bytes/s]
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Get sub-03/s .. _bold.nii.gz: 16%|▍ | 5.98M/36.5M [00:00<00:02, 10.7M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 23%|▋ | 8.40M/36.5M [00:00<00:02, 11.0M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 29%|▊ | 10.5M/36.5M [00:00<00:02, 10.5M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 35%|█ | 12.7M/36.5M [00:01<00:02, 10.4M Bytes/s]
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Get sub-03/s .. _bold.nii.gz: 83%|██▍| 30.3M/36.5M [00:02<00:00, 10.4M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 89%|██▋| 32.4M/36.5M [00:03<00:00, 10.2M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 95%|██▊| 34.6M/36.5M [00:03<00:00, 10.3M Bytes/s]
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Get sub-03/s .. _bold.nii.gz: 13%|▍ | 4.59M/36.5M [00:00<00:02, 10.9M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 16%|▍ | 5.96M/36.5M [00:00<00:02, 11.7M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 23%|▋ | 8.37M/36.5M [00:00<00:02, 11.5M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 28%|▊ | 10.3M/36.5M [00:00<00:02, 10.5M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 35%|█ | 12.7M/36.5M [00:01<00:02, 10.7M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 40%|█▏ | 14.6M/36.5M [00:01<00:02, 10.1M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 43%|█▎ | 15.7M/36.5M [00:01<00:02, 9.98M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 47%|█▍ | 17.1M/36.5M [00:01<00:01, 10.8M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 53%|█▌ | 19.2M/36.5M [00:01<00:01, 10.4M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 59%|█▊ | 21.4M/36.5M [00:02<00:01, 10.3M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 65%|█▉ | 23.6M/36.5M [00:02<00:01, 10.3M Bytes/s]
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Get sub-03/s .. _bold.nii.gz: 77%|██▎| 28.1M/36.5M [00:02<00:00, 10.4M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 83%|██▍| 30.3M/36.5M [00:02<00:00, 10.4M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 89%|██▋| 32.6M/36.5M [00:03<00:00, 10.4M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 95%|██▊| 34.8M/36.5M [00:03<00:00, 10.4M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 0%| | 0.00/36.5M [00:00<?, ? Bytes/s]
Get sub-03/s .. _bold.nii.gz: 7%|▏ | 2.74M/36.5M [00:00<00:02, 13.8M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 11%|▎ | 4.12M/36.5M [00:00<00:02, 13.8M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 16%|▍ | 5.98M/36.5M [00:00<00:02, 10.6M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 23%|▋ | 8.32M/36.5M [00:00<00:02, 10.7M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 28%|▊ | 10.1M/36.5M [00:00<00:02, 9.86M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 34%|█ | 12.3M/36.5M [00:01<00:02, 9.91M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 39%|█▏ | 14.3M/36.5M [00:01<00:02, 9.75M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 45%|█▎ | 16.5M/36.5M [00:01<00:02, 9.88M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 51%|█▌ | 18.5M/36.5M [00:01<00:01, 9.74M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 56%|█▋ | 20.6M/36.5M [00:02<00:01, 9.65M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 62%|█▊ | 22.7M/36.5M [00:02<00:01, 9.72M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 68%|██ | 24.8M/36.5M [00:02<00:01, 9.72M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 74%|██▏| 26.9M/36.5M [00:02<00:00, 9.83M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 79%|██▍| 29.0M/36.5M [00:02<00:00, 9.75M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 85%|██▌| 31.1M/36.5M [00:03<00:00, 9.76M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 90%|██▋| 32.9M/36.5M [00:03<00:00, 9.32M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 96%|██▉| 35.2M/36.5M [00:03<00:00, 9.76M Bytes/s]
Total: 45%|███████████▌ | 1.31G/2.93G [02:39<03:19, 8.17M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 0%| | 0.00/36.4M [00:00<?, ? Bytes/s]
Get sub-02/s .. _bold.nii.gz: 7%|▏ | 2.62M/36.4M [00:00<00:02, 13.2M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 13%|▍ | 4.60M/36.4M [00:00<00:03, 10.4M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 16%|▍ | 5.94M/36.4M [00:00<00:02, 11.2M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 23%|▋ | 8.20M/36.4M [00:00<00:02, 10.9M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 28%|▊ | 10.2M/36.4M [00:00<00:02, 10.2M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 34%|█ | 12.3M/36.4M [00:01<00:02, 10.0M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 39%|█▏ | 14.3M/36.4M [00:01<00:02, 9.88M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 45%|█▎ | 16.5M/36.4M [00:01<00:02, 9.90M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 51%|█▌ | 18.5M/36.4M [00:01<00:01, 9.81M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 57%|█▋ | 20.6M/36.4M [00:02<00:01, 9.74M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 62%|█▊ | 22.6M/36.4M [00:02<00:01, 9.67M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 68%|██ | 24.7M/36.4M [00:02<00:01, 9.59M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 74%|██▏| 26.8M/36.4M [00:02<00:00, 9.65M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 79%|██▍| 28.8M/36.4M [00:02<00:00, 9.65M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 85%|██▌| 30.9M/36.4M [00:03<00:00, 9.66M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 91%|██▋| 33.0M/36.4M [00:03<00:00, 9.63M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 96%|██▉| 35.0M/36.4M [00:03<00:00, 9.65M Bytes/s]
Total: 46%|███████████▉ | 1.34G/2.93G [02:44<03:14, 8.18M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 0%| | 0.00/36.5M [00:00<?, ? Bytes/s]
Get sub-02/s .. _bold.nii.gz: 7%|▏ | 2.72M/36.5M [00:00<00:02, 13.6M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 11%|▎ | 4.15M/36.5M [00:00<00:02, 13.9M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 16%|▍ | 5.95M/36.5M [00:00<00:02, 10.8M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 23%|▋ | 8.23M/36.5M [00:00<00:02, 10.8M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 28%|▊ | 10.2M/36.5M [00:00<00:02, 10.2M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 34%|█ | 12.4M/36.5M [00:01<00:02, 10.2M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 40%|█▏ | 14.4M/36.5M [00:01<00:02, 9.92M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 46%|█▎ | 16.7M/36.5M [00:01<00:01, 10.1M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 51%|█▌ | 18.7M/36.5M [00:01<00:01, 9.91M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 57%|█▋ | 20.8M/36.5M [00:02<00:01, 9.89M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 63%|█▉ | 23.0M/36.5M [00:02<00:01, 9.91M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 69%|██ | 25.0M/36.5M [00:02<00:01, 9.73M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 71%|██▏| 26.0M/36.5M [00:02<00:01, 9.52M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 75%|██▎| 27.4M/36.5M [00:02<00:00, 10.3M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 81%|██▍| 29.5M/36.5M [00:02<00:00, 10.2M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 87%|██▌| 31.7M/36.5M [00:03<00:00, 10.2M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 93%|██▊| 33.9M/36.5M [00:03<00:00, 10.2M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 99%|██▉| 36.0M/36.5M [00:03<00:00, 10.1M Bytes/s]
Total: 47%|████████████▏ | 1.38G/2.93G [02:48<03:09, 8.20M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 0%| | 0.00/36.5M [00:00<?, ? Bytes/s]
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Get sub-02/s .. _bold.nii.gz: 9%|▎ | 3.37M/36.5M [00:00<00:02, 11.4M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 13%|▍ | 4.68M/36.5M [00:00<00:02, 10.9M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 17%|▌ | 6.09M/36.5M [00:00<00:02, 11.9M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 22%|▋ | 8.11M/36.5M [00:00<00:02, 10.7M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 26%|▊ | 9.32M/36.5M [00:00<00:02, 10.6M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 32%|▉ | 11.6M/36.5M [00:01<00:02, 10.6M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 36%|█ | 13.0M/36.5M [00:01<00:02, 11.4M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 42%|█▎ | 15.4M/36.5M [00:01<00:01, 11.3M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 49%|█▍ | 17.7M/36.5M [00:01<00:01, 11.1M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 55%|█▋ | 20.0M/36.5M [00:01<00:01, 11.0M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 61%|█▊ | 22.5M/36.5M [00:02<00:01, 11.1M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 68%|██ | 24.9M/36.5M [00:02<00:01, 11.1M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 75%|██▏| 27.3M/36.5M [00:02<00:00, 11.2M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 81%|██▍| 29.4M/36.5M [00:02<00:00, 10.8M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 84%|██▌| 30.6M/36.5M [00:02<00:00, 10.7M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 87%|██▌| 32.0M/36.5M [00:02<00:00, 11.3M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 93%|██▊| 34.1M/36.5M [00:03<00:00, 10.9M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 97%|██▉| 35.3M/36.5M [00:03<00:00, 10.7M Bytes/s]
Total: 48%|████████████▌ | 1.42G/2.93G [02:52<03:04, 8.23M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 0%| | 0.00/36.6M [00:00<?, ? Bytes/s]
Get sub-02/s .. _bold.nii.gz: 8%|▏ | 2.75M/36.6M [00:00<00:02, 13.7M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 12%|▎ | 4.21M/36.6M [00:00<00:02, 14.1M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 16%|▍ | 5.85M/36.6M [00:00<00:02, 10.6M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 22%|▋ | 8.14M/36.6M [00:00<00:02, 10.7M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 28%|▊ | 10.3M/36.6M [00:00<00:02, 10.4M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 34%|█ | 12.4M/36.6M [00:01<00:02, 10.3M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 40%|█▏ | 14.6M/36.6M [00:01<00:02, 10.2M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 46%|█▍ | 16.9M/36.6M [00:01<00:01, 10.3M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 52%|█▌ | 18.9M/36.6M [00:01<00:01, 10.0M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 58%|█▋ | 21.1M/36.6M [00:02<00:01, 10.1M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 64%|█▉ | 23.3M/36.6M [00:02<00:01, 10.2M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 70%|██ | 25.4M/36.6M [00:02<00:01, 10.1M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 76%|██▎| 27.6M/36.6M [00:02<00:00, 10.1M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 82%|██▍| 29.9M/36.6M [00:02<00:00, 10.2M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 88%|██▋| 32.0M/36.6M [00:03<00:00, 10.1M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 94%|██▊| 34.2M/36.6M [00:03<00:00, 10.2M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 100%|██▉| 36.4M/36.6M [00:03<00:00, 10.2M Bytes/s]
Total: 50%|████████████▊ | 1.45G/2.93G [02:56<02:59, 8.24M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 0%| | 0.00/36.6M [00:00<?, ? Bytes/s]
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Get sub-02/s .. _bold.nii.gz: 12%|▎ | 4.54M/36.6M [00:00<00:03, 10.6M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 16%|▍ | 5.83M/36.6M [00:00<00:02, 11.2M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 22%|▋ | 8.19M/36.6M [00:00<00:02, 11.1M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 28%|▊ | 10.3M/36.6M [00:00<00:02, 10.5M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 34%|█ | 12.4M/36.6M [00:01<00:02, 10.3M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 40%|█▏ | 14.5M/36.6M [00:01<00:02, 10.1M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 46%|█▎ | 16.7M/36.6M [00:01<00:01, 10.1M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 51%|█▌ | 18.7M/36.6M [00:01<00:01, 9.86M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 57%|█▋ | 20.9M/36.6M [00:02<00:01, 9.95M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 63%|█▉ | 22.9M/36.6M [00:02<00:01, 9.84M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 66%|█▉ | 24.0M/36.6M [00:02<00:01, 9.80M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 69%|██ | 25.4M/36.6M [00:02<00:01, 10.5M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 75%|██▎| 27.6M/36.6M [00:02<00:00, 10.4M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 78%|██▎| 28.7M/36.6M [00:02<00:00, 10.2M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 82%|██▍| 30.0M/36.6M [00:02<00:00, 10.9M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 88%|██▋| 32.2M/36.6M [00:03<00:00, 10.6M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 95%|██▊| 34.6M/36.6M [00:03<00:00, 10.8M Bytes/s]
Total: 51%|█████████████▏ | 1.49G/2.93G [03:00<02:54, 8.26M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 0%| | 0.00/36.6M [00:00<?, ? Bytes/s]
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Get sub-02/s .. _bold.nii.gz: 13%|▍ | 4.59M/36.6M [00:00<00:02, 10.7M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 16%|▍ | 5.98M/36.6M [00:00<00:02, 11.6M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 23%|▋ | 8.26M/36.6M [00:00<00:02, 11.1M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 28%|▊ | 10.3M/36.6M [00:00<00:02, 10.5M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 34%|█ | 12.5M/36.6M [00:01<00:02, 10.3M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 40%|█▏ | 14.6M/36.6M [00:01<00:02, 10.2M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 46%|█▍ | 16.8M/36.6M [00:01<00:01, 10.3M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 52%|█▌ | 19.0M/36.6M [00:01<00:01, 10.3M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 58%|█▋ | 21.2M/36.6M [00:02<00:01, 10.1M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 64%|█▉ | 23.4M/36.6M [00:02<00:01, 10.2M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 69%|██ | 25.4M/36.6M [00:02<00:01, 10.0M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 75%|██▎| 27.5M/36.6M [00:02<00:00, 9.91M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 81%|██▍| 29.7M/36.6M [00:02<00:00, 9.99M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 87%|██▌| 31.9M/36.6M [00:03<00:00, 10.1M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 93%|██▊| 34.0M/36.6M [00:03<00:00, 10.0M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 99%|██▉| 36.3M/36.6M [00:03<00:00, 10.2M Bytes/s]
Total: 52%|█████████████▌ | 1.53G/2.93G [03:04<02:50, 8.28M Bytes/s]
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Get sub-02/s .. _bold.nii.gz: 7%|▏ | 2.67M/36.6M [00:00<00:02, 13.4M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 11%|▎ | 4.05M/36.6M [00:00<00:02, 13.5M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 17%|▌ | 6.25M/36.6M [00:00<00:02, 11.3M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 24%|▋ | 8.79M/36.6M [00:00<00:02, 11.5M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 30%|▉ | 10.9M/36.6M [00:00<00:02, 10.9M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 36%|█ | 13.3M/36.6M [00:01<00:02, 11.0M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 42%|█▎ | 15.6M/36.6M [00:01<00:01, 10.8M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 49%|█▍ | 17.9M/36.6M [00:01<00:01, 10.9M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 55%|█▋ | 20.2M/36.6M [00:01<00:01, 10.7M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 61%|█▊ | 22.5M/36.6M [00:02<00:01, 10.7M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 68%|██ | 24.8M/36.6M [00:02<00:01, 10.8M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 73%|██▏| 26.8M/36.6M [00:02<00:00, 10.3M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 76%|██▎| 28.0M/36.6M [00:02<00:00, 10.4M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 80%|██▍| 29.3M/36.6M [00:02<00:00, 10.8M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 86%|██▌| 31.4M/36.6M [00:02<00:00, 10.5M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 89%|██▋| 32.6M/36.6M [00:03<00:00, 10.4M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 92%|██▊| 33.8M/36.6M [00:03<00:00, 10.8M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 98%|██▉| 36.1M/36.6M [00:03<00:00, 10.7M Bytes/s]
Total: 53%|█████████████▊ | 1.56G/2.93G [03:08<02:45, 8.30M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 0%| | 0.00/36.7M [00:00<?, ? Bytes/s]
Get sub-02/s .. _bold.nii.gz: 7%|▏ | 2.55M/36.7M [00:00<00:02, 12.7M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 10%|▎ | 3.84M/36.7M [00:00<00:02, 12.8M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 16%|▍ | 5.94M/36.7M [00:00<00:02, 10.7M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 22%|▋ | 8.12M/36.7M [00:00<00:02, 10.5M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 28%|▊ | 10.1M/36.7M [00:00<00:02, 9.98M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 33%|▉ | 12.2M/36.7M [00:01<00:02, 9.89M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 38%|█▏ | 14.0M/36.7M [00:01<00:02, 9.48M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 44%|█▎ | 16.3M/36.7M [00:01<00:02, 9.75M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 50%|█▍ | 18.3M/36.7M [00:01<00:01, 9.59M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 55%|█▋ | 20.3M/36.7M [00:02<00:01, 9.61M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 61%|█▊ | 22.3M/36.7M [00:02<00:01, 9.54M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 67%|█▉ | 24.5M/36.7M [00:02<00:01, 9.64M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 72%|██▏| 26.4M/36.7M [00:02<00:01, 9.50M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 78%|██▎| 28.6M/36.7M [00:02<00:00, 9.65M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 83%|██▍| 30.6M/36.7M [00:03<00:00, 9.54M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 89%|██▋| 32.7M/36.7M [00:03<00:00, 9.64M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 95%|██▊| 34.8M/36.7M [00:03<00:00, 9.64M Bytes/s]
Total: 55%|██████████████▏ | 1.60G/2.93G [03:12<02:40, 8.30M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 0%| | 0.00/36.7M [00:00<?, ? Bytes/s]
Get sub-02/s .. _bold.nii.gz: 4%| | 1.39M/36.7M [00:00<00:02, 13.8M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 8%|▏ | 2.83M/36.7M [00:00<00:02, 14.2M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 12%|▎ | 4.25M/36.7M [00:00<00:02, 14.2M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 16%|▍ | 6.00M/36.7M [00:00<00:02, 11.1M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 22%|▋ | 8.20M/36.7M [00:00<00:02, 10.7M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 28%|▊ | 10.5M/36.7M [00:00<00:02, 10.5M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 35%|█ | 12.8M/36.7M [00:01<00:02, 10.6M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 40%|█▏ | 14.9M/36.7M [00:01<00:02, 10.3M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 46%|█▍ | 16.9M/36.7M [00:01<00:01, 10.1M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 52%|█▌ | 19.2M/36.7M [00:01<00:01, 10.3M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 58%|█▋ | 21.3M/36.7M [00:02<00:01, 10.2M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 64%|█▉ | 23.5M/36.7M [00:02<00:01, 10.1M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 69%|██ | 25.5M/36.7M [00:02<00:01, 9.86M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 72%|██▏| 26.6M/36.7M [00:02<00:01, 9.77M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 76%|██▎| 28.0M/36.7M [00:02<00:00, 10.6M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 82%|██▍| 30.1M/36.7M [00:02<00:00, 10.3M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 88%|██▋| 32.3M/36.7M [00:03<00:00, 10.3M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 94%|██▊| 34.5M/36.7M [00:03<00:00, 10.3M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 100%|██▉| 36.7M/36.7M [00:03<00:00, 10.2M Bytes/s]
Total: 56%|██████████████▍ | 1.64G/2.93G [03:16<02:36, 8.32M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 0%| | 0.00/35.6M [00:00<?, ? Bytes/s]
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Get sub-08/s .. _bold.nii.gz: 17%|▌ | 5.96M/35.6M [00:00<00:02, 11.2M Bytes/s]
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Get sub-08/s .. _bold.nii.gz: 28%|▊ | 10.1M/35.6M [00:00<00:02, 10.1M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 34%|█ | 12.2M/35.6M [00:01<00:02, 9.95M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 40%|█▏ | 14.3M/35.6M [00:01<00:02, 9.85M Bytes/s]
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Get sub-08/s .. _bold.nii.gz: 69%|██ | 24.5M/35.6M [00:02<00:01, 9.58M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 74%|██▏| 26.4M/35.6M [00:02<00:00, 9.27M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 80%|██▍| 28.6M/35.6M [00:02<00:00, 9.62M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 86%|██▌| 30.6M/35.6M [00:03<00:00, 9.58M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 92%|██▊| 32.7M/35.6M [00:03<00:00, 9.56M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 98%|██▉| 34.7M/35.6M [00:03<00:00, 9.52M Bytes/s]
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Get sub-08/s .. _bold.nii.gz: 10%|▎ | 3.61M/35.6M [00:00<00:02, 12.3M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 17%|▍ | 5.91M/35.6M [00:00<00:02, 11.0M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 23%|▋ | 8.05M/35.6M [00:00<00:02, 10.5M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 28%|▊ | 10.1M/35.6M [00:00<00:02, 10.2M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 34%|█ | 12.2M/35.6M [00:01<00:02, 10.1M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 41%|█▏ | 14.4M/35.6M [00:01<00:02, 10.1M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 46%|█▍ | 16.5M/35.6M [00:01<00:01, 9.94M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 53%|█▌ | 18.8M/35.6M [00:01<00:01, 10.2M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 58%|█▋ | 20.8M/35.6M [00:02<00:01, 9.85M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 65%|█▉ | 23.0M/35.6M [00:02<00:01, 10.0M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 71%|██ | 25.1M/35.6M [00:02<00:01, 10.0M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 77%|██▎| 27.3M/35.6M [00:02<00:00, 10.0M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 83%|██▍| 29.5M/35.6M [00:02<00:00, 10.1M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 89%|██▋| 31.7M/35.6M [00:03<00:00, 10.1M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 95%|██▊| 33.8M/35.6M [00:03<00:00, 10.0M Bytes/s]
Total: 58%|███████████████▏ | 1.71G/2.93G [03:24<02:27, 8.33M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 0%| | 0.00/35.7M [00:00<?, ? Bytes/s]
Get sub-08/s .. _bold.nii.gz: 8%|▏ | 2.75M/35.7M [00:00<00:02, 13.8M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 13%|▍ | 4.59M/35.7M [00:00<00:02, 10.5M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 17%|▌ | 6.00M/35.7M [00:00<00:02, 11.5M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 23%|▋ | 8.32M/35.7M [00:00<00:02, 11.2M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 29%|▊ | 10.2M/35.7M [00:00<00:02, 10.3M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 35%|█ | 12.4M/35.7M [00:01<00:02, 10.1M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 40%|█▏ | 14.4M/35.7M [00:01<00:02, 9.98M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 46%|█▍ | 16.6M/35.7M [00:01<00:01, 9.96M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 52%|█▌ | 18.7M/35.7M [00:01<00:01, 9.97M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 58%|█▋ | 20.8M/35.7M [00:02<00:01, 9.90M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 64%|█▉ | 22.9M/35.7M [00:02<00:01, 9.86M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 70%|██ | 25.0M/35.7M [00:02<00:01, 9.88M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 76%|██▎| 27.1M/35.7M [00:02<00:00, 9.76M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 82%|██▍| 29.1M/35.7M [00:02<00:00, 9.70M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 87%|██▌| 31.2M/35.7M [00:03<00:00, 9.67M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 93%|██▊| 33.2M/35.7M [00:03<00:00, 9.53M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 99%|██▉| 35.4M/35.7M [00:03<00:00, 9.77M Bytes/s]
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Get sub-08/s .. _bold.nii.gz: 8%|▏ | 2.84M/35.7M [00:00<00:02, 14.2M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 13%|▍ | 4.53M/35.7M [00:00<00:02, 10.8M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 17%|▌ | 5.97M/35.7M [00:00<00:02, 11.8M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 23%|▋ | 8.15M/35.7M [00:00<00:02, 11.0M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 28%|▊ | 10.1M/35.7M [00:00<00:02, 10.2M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 35%|█ | 12.5M/35.7M [00:01<00:02, 10.5M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 40%|█▏ | 14.4M/35.7M [00:01<00:02, 10.0M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 47%|█▍ | 16.7M/35.7M [00:01<00:01, 10.2M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 52%|█▌ | 18.6M/35.7M [00:01<00:01, 9.86M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 58%|█▊ | 20.9M/35.7M [00:02<00:01, 10.0M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 64%|█▉ | 23.0M/35.7M [00:02<00:01, 9.99M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 70%|██ | 25.2M/35.7M [00:02<00:01, 10.0M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 74%|██▏| 26.3M/35.7M [00:02<00:00, 10.0M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 77%|██▎| 27.6M/35.7M [00:02<00:00, 10.6M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 84%|██▌| 29.9M/35.7M [00:02<00:00, 10.6M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 90%|██▋| 32.3M/35.7M [00:03<00:00, 10.7M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 96%|██▉| 34.4M/35.7M [00:03<00:00, 10.6M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 100%|██▉| 35.7M/35.7M [00:03<00:00, 10.6M Bytes/s]
Total: 61%|███████████████▊ | 1.78G/2.93G [03:33<02:18, 8.35M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 0%| | 0.00/35.8M [00:00<?, ? Bytes/s]
Get sub-08/s .. _bold.nii.gz: 6%|▏ | 2.23M/35.8M [00:00<00:03, 11.2M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 9%|▎ | 3.35M/35.8M [00:00<00:02, 11.2M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 16%|▍ | 5.67M/35.8M [00:00<00:02, 10.6M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 21%|▋ | 7.64M/35.8M [00:00<00:02, 10.1M Bytes/s]
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Get sub-08/s .. _bold.nii.gz: 27%|▊ | 9.83M/35.8M [00:00<00:02, 10.2M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 35%|█ | 12.4M/35.8M [00:01<00:02, 10.8M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 40%|█▏ | 14.2M/35.8M [00:01<00:02, 9.90M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 46%|█▎ | 16.4M/35.8M [00:01<00:01, 9.93M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 52%|█▌ | 18.4M/35.8M [00:01<00:01, 9.83M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 58%|█▋ | 20.6M/35.8M [00:02<00:01, 9.97M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 64%|█▉ | 22.8M/35.8M [00:02<00:01, 10.0M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 70%|██ | 24.9M/35.8M [00:02<00:01, 9.87M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 75%|██▎| 27.0M/35.8M [00:02<00:00, 9.88M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 81%|██▍| 29.1M/35.8M [00:02<00:00, 9.90M Bytes/s]
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Get sub-08/s .. _bold.nii.gz: 93%|██▊| 33.4M/35.8M [00:03<00:00, 9.89M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 99%|██▉| 35.5M/35.8M [00:03<00:00, 9.88M Bytes/s]
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Get sub-08/s .. _bold.nii.gz: 7%|▏ | 2.60M/35.8M [00:00<00:02, 13.1M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 13%|▍ | 4.55M/35.8M [00:00<00:02, 10.5M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 16%|▍ | 5.71M/35.8M [00:00<00:02, 10.8M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 23%|▋ | 8.30M/35.8M [00:00<00:02, 11.4M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 28%|▊ | 10.1M/35.8M [00:00<00:02, 10.2M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 35%|█ | 12.4M/35.8M [00:01<00:02, 10.4M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 40%|█▏ | 14.5M/35.8M [00:01<00:02, 10.1M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 46%|█▍ | 16.5M/35.8M [00:01<00:01, 9.92M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 53%|█▌ | 18.9M/35.8M [00:01<00:01, 10.1M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 59%|█▊ | 21.0M/35.8M [00:02<00:01, 9.99M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 64%|█▉ | 23.1M/35.8M [00:02<00:01, 9.83M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 70%|██ | 25.1M/35.8M [00:02<00:01, 9.74M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 76%|██▎| 27.3M/35.8M [00:02<00:00, 9.93M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 82%|██▍| 29.4M/35.8M [00:02<00:00, 9.85M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 88%|██▋| 31.5M/35.8M [00:03<00:00, 9.81M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 94%|██▊| 33.6M/35.8M [00:03<00:00, 9.83M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 100%|██▉| 35.7M/35.8M [00:03<00:00, 9.85M Bytes/s]
Total: 63%|████████████████▍ | 1.85G/2.93G [03:41<02:09, 8.36M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 0%| | 0.00/35.9M [00:00<?, ? Bytes/s]
Get sub-08/s .. _bold.nii.gz: 8%|▏ | 2.72M/35.9M [00:00<00:02, 13.7M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 11%|▎ | 4.12M/35.9M [00:00<00:02, 13.8M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 17%|▌ | 5.99M/35.9M [00:00<00:02, 10.6M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 23%|▋ | 8.32M/35.9M [00:00<00:02, 10.7M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 28%|▊ | 10.1M/35.9M [00:00<00:02, 9.73M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 34%|█ | 12.4M/35.9M [00:01<00:02, 10.0M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 40%|█▏ | 14.3M/35.9M [00:01<00:02, 9.73M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 46%|█▍ | 16.4M/35.9M [00:01<00:01, 9.80M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 51%|█▌ | 18.4M/35.9M [00:01<00:01, 9.52M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 57%|█▋ | 20.6M/35.9M [00:02<00:01, 9.77M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 63%|█▉ | 22.6M/35.9M [00:02<00:01, 9.59M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 69%|██ | 24.7M/35.9M [00:02<00:01, 9.70M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 75%|██▏| 26.8M/35.9M [00:02<00:00, 9.66M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 80%|██▍| 28.9M/35.9M [00:02<00:00, 9.67M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 86%|██▌| 30.9M/35.9M [00:03<00:00, 9.64M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 92%|██▊| 32.9M/35.9M [00:03<00:00, 9.52M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 97%|██▉| 34.9M/35.9M [00:03<00:00, 9.50M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 0%| | 0.00/35.9M [00:00<?, ? Bytes/s]
Get sub-08/s .. _bold.nii.gz: 6%|▏ | 2.25M/35.9M [00:00<00:02, 11.3M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 10%|▎ | 3.54M/35.9M [00:00<00:02, 11.9M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 17%|▍ | 5.99M/35.9M [00:00<00:02, 11.3M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 22%|▋ | 8.00M/35.9M [00:00<00:02, 10.4M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 28%|▊ | 10.2M/35.9M [00:00<00:02, 10.3M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 34%|█ | 12.2M/35.9M [00:01<00:02, 10.0M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 40%|█▏ | 14.4M/35.9M [00:01<00:02, 10.1M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 46%|█▎ | 16.4M/35.9M [00:01<00:01, 9.84M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 52%|█▌ | 18.6M/35.9M [00:01<00:01, 9.87M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 57%|█▋ | 20.6M/35.9M [00:02<00:01, 9.78M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 63%|█▉ | 22.8M/35.9M [00:02<00:01, 9.84M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 69%|██ | 24.8M/35.9M [00:02<00:01, 9.73M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 75%|██▏| 26.9M/35.9M [00:02<00:00, 9.72M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 80%|██▍| 28.9M/35.9M [00:02<00:00, 9.59M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 86%|██▌| 31.0M/35.9M [00:03<00:00, 9.60M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 92%|██▊| 32.9M/35.9M [00:03<00:00, 9.50M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 98%|██▉| 35.2M/35.9M [00:03<00:00, 9.76M Bytes/s]
Total: 66%|█████████████████ | 1.92G/2.93G [03:49<02:00, 8.36M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 0%| | 0.00/35.9M [00:00<?, ? Bytes/s]
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Get sub-08/s .. _bold.nii.gz: 13%|▍ | 4.59M/35.9M [00:00<00:03, 10.3M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 16%|▍ | 5.81M/35.9M [00:00<00:02, 10.8M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 22%|▋ | 8.04M/35.9M [00:00<00:02, 10.6M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 28%|▊ | 10.0M/35.9M [00:00<00:02, 10.0M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 34%|█ | 12.2M/35.9M [00:01<00:02, 9.98M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 39%|█▏ | 14.1M/35.9M [00:01<00:02, 9.61M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 45%|█▎ | 16.2M/35.9M [00:01<00:02, 9.66M Bytes/s]
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Get sub-08/s .. _bold.nii.gz: 73%|██▏| 26.3M/35.9M [00:02<00:01, 9.47M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 79%|██▎| 28.3M/35.9M [00:02<00:00, 9.44M Bytes/s]
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Get sub-07/s .. _bold.nii.gz: 12%|▎ | 4.10M/35.3M [00:00<00:02, 13.7M Bytes/s]
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Get sub-07/s .. _bold.nii.gz: 35%|█ | 12.3M/35.3M [00:01<00:02, 9.90M Bytes/s]
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Get sub-07/s .. _bold.nii.gz: 51%|█▌ | 18.2M/35.3M [00:01<00:01, 9.32M Bytes/s]
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Get sub-07/s .. _bold.nii.gz: 0%| | 89.6k/35.2M [00:00<02:41, 217k Bytes/s]
Total: 68%|█████████████████▋ | 1.99G/2.93G [04:00<01:53, 8.30M Bytes/s]
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Get sub-07/s .. _bold.nii.gz: 2%| | 664k/35.2M [00:01<00:43, 796k Bytes/s]
Get sub-07/s .. _bold.nii.gz: 4%| | 1.31M/35.2M [00:01<00:22, 1.53M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 7%|▏ | 2.60M/35.2M [00:01<00:10, 2.98M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 11%|▎ | 3.99M/35.2M [00:01<00:06, 4.91M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 14%|▍ | 5.05M/35.2M [00:01<00:05, 5.93M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 18%|▌ | 6.50M/35.2M [00:02<00:03, 7.79M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 24%|▋ | 8.30M/35.2M [00:02<00:03, 8.07M Bytes/s]
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Get sub-07/s .. _bold.nii.gz: 36%|█ | 12.6M/35.2M [00:02<00:02, 9.18M Bytes/s]
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Get sub-07/s .. _bold.nii.gz: 48%|█▍ | 16.9M/35.2M [00:03<00:01, 9.65M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 54%|█▌ | 18.9M/35.2M [00:03<00:01, 9.70M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 60%|█▊ | 21.0M/35.2M [00:03<00:01, 9.76M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 66%|█▉ | 23.2M/35.2M [00:03<00:01, 9.86M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 72%|██▏| 25.3M/35.2M [00:03<00:00, 9.98M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 78%|██▎| 27.4M/35.2M [00:04<00:00, 9.90M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 84%|██▌| 29.5M/35.2M [00:04<00:00, 9.95M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 87%|██▌| 30.6M/35.2M [00:04<00:00, 9.78M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 91%|██▋| 32.0M/35.2M [00:04<00:00, 10.6M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 97%|██▉| 34.3M/35.2M [00:04<00:00, 10.8M Bytes/s]
Total: 69%|█████████████████▉ | 2.03G/2.93G [04:04<01:49, 8.30M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 0%| | 0.00/35.3M [00:00<?, ? Bytes/s]
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Get sub-07/s .. _bold.nii.gz: 13%|▍ | 4.59M/35.3M [00:00<00:02, 10.8M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 17%|▌ | 6.00M/35.3M [00:00<00:02, 11.7M Bytes/s]
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Get sub-07/s .. _bold.nii.gz: 30%|▉ | 10.5M/35.3M [00:00<00:02, 10.9M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 36%|█ | 12.6M/35.3M [00:01<00:02, 10.5M Bytes/s]
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Get sub-07/s .. _bold.nii.gz: 48%|█▍ | 17.0M/35.3M [00:01<00:01, 10.4M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 54%|█▋ | 19.2M/35.3M [00:01<00:01, 10.4M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 61%|█▊ | 21.4M/35.3M [00:01<00:01, 10.4M Bytes/s]
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Get sub-07/s .. _bold.nii.gz: 73%|██▏| 25.7M/35.3M [00:02<00:00, 10.2M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 79%|██▍| 28.0M/35.3M [00:02<00:00, 10.4M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 85%|██▌| 30.1M/35.3M [00:02<00:00, 10.2M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 92%|██▊| 32.3M/35.3M [00:03<00:00, 10.4M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 98%|██▉| 34.6M/35.3M [00:03<00:00, 10.5M Bytes/s]
Total: 70%|██████████████████▎ | 2.06G/2.93G [04:08<01:44, 8.31M Bytes/s]
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Get sub-07/s .. _bold.nii.gz: 49%|█▍ | 17.1M/35.1M [00:01<00:01, 10.6M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 55%|█▋ | 19.3M/35.1M [00:01<00:01, 10.5M Bytes/s]
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Get sub-07/s .. _bold.nii.gz: 67%|██ | 23.7M/35.1M [00:02<00:01, 10.3M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 74%|██▏| 25.9M/35.1M [00:02<00:00, 10.3M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 80%|██▍| 28.0M/35.1M [00:02<00:00, 10.2M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 86%|██▌| 30.4M/35.1M [00:02<00:00, 10.5M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 93%|██▊| 32.6M/35.1M [00:03<00:00, 10.5M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 99%|██▉| 34.7M/35.1M [00:03<00:00, 10.3M Bytes/s]
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Get sub-07/s .. _bold.nii.gz: 12%|▎ | 4.11M/35.3M [00:00<00:02, 13.7M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 17%|▌ | 6.04M/35.3M [00:00<00:02, 10.8M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 24%|▋ | 8.30M/35.3M [00:00<00:02, 10.7M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 29%|▊ | 10.2M/35.3M [00:00<00:02, 10.1M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 35%|█ | 12.2M/35.3M [00:01<00:02, 9.90M Bytes/s]
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Get sub-07/s .. _bold.nii.gz: 53%|█▌ | 18.8M/35.3M [00:01<00:01, 10.6M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 59%|█▊ | 20.9M/35.3M [00:02<00:01, 10.4M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 66%|█▉ | 23.3M/35.3M [00:02<00:01, 10.7M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 72%|██▏| 25.5M/35.3M [00:02<00:00, 10.6M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 79%|██▍| 27.9M/35.3M [00:02<00:00, 10.8M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 85%|██▌| 30.1M/35.3M [00:02<00:00, 10.7M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 92%|██▊| 32.5M/35.3M [00:03<00:00, 10.8M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 99%|██▉| 34.8M/35.3M [00:03<00:00, 10.8M Bytes/s]
Total: 73%|██████████████████▉ | 2.13G/2.93G [04:16<01:35, 8.33M Bytes/s]
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Get sub-07/s .. _bold.nii.gz: 55%|█▋ | 19.2M/35.2M [00:01<00:01, 10.2M Bytes/s]
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Get sub-07/s .. _bold.nii.gz: 86%|██▌| 30.3M/35.2M [00:02<00:00, 10.3M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 92%|██▊| 32.6M/35.2M [00:03<00:00, 10.4M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 99%|██▉| 34.8M/35.2M [00:03<00:00, 10.5M Bytes/s]
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Get sub-07/s .. _bold.nii.gz: 12%|▎ | 4.17M/35.2M [00:00<00:02, 13.9M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 17%|▌ | 5.95M/35.2M [00:00<00:02, 10.6M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 24%|▋ | 8.29M/35.2M [00:00<00:02, 10.8M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 29%|▊ | 10.2M/35.2M [00:00<00:02, 10.0M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 35%|█ | 12.2M/35.2M [00:01<00:02, 9.87M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 40%|█▏ | 14.1M/35.2M [00:01<00:02, 9.63M Bytes/s]
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Get sub-07/s .. _bold.nii.gz: 52%|█▌ | 18.2M/35.2M [00:01<00:01, 9.68M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 57%|█▋ | 20.2M/35.2M [00:02<00:01, 9.54M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 63%|█▉ | 22.3M/35.2M [00:02<00:01, 9.71M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 69%|██ | 24.4M/35.2M [00:02<00:01, 9.66M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 75%|██▏| 26.4M/35.2M [00:02<00:00, 9.62M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 81%|██▍| 28.4M/35.2M [00:02<00:00, 9.52M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 86%|██▌| 30.4M/35.2M [00:03<00:00, 9.50M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 92%|██▋| 32.3M/35.2M [00:03<00:00, 9.30M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 97%|██▉| 34.3M/35.2M [00:03<00:00, 9.44M Bytes/s]
Total: 75%|███████████████████▌ | 2.20G/2.93G [04:24<01:27, 8.34M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 0%| | 0.00/35.3M [00:00<?, ? Bytes/s]
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Get sub-07/s .. _bold.nii.gz: 23%|▋ | 8.00M/35.3M [00:00<00:02, 10.3M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 29%|▊ | 10.3M/35.3M [00:00<00:02, 10.4M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 35%|█ | 12.4M/35.3M [00:01<00:02, 10.3M Bytes/s]
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Get sub-07/s .. _bold.nii.gz: 54%|█▌ | 18.9M/35.3M [00:01<00:01, 10.3M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 59%|█▊ | 20.9M/35.3M [00:02<00:01, 10.1M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 66%|█▉ | 23.1M/35.3M [00:02<00:01, 10.2M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 72%|██▏| 25.4M/35.3M [00:02<00:00, 10.3M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 78%|██▎| 27.5M/35.3M [00:02<00:00, 10.2M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 84%|██▌| 29.5M/35.3M [00:02<00:00, 10.0M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 90%|██▋| 31.9M/35.3M [00:03<00:00, 10.4M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 96%|██▉| 33.9M/35.3M [00:03<00:00, 10.0M Bytes/s]
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Get sub-07/s .. _bold.nii.gz: 8%|▏ | 2.77M/35.2M [00:00<00:02, 13.9M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 13%|▍ | 4.61M/35.2M [00:00<00:02, 10.7M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 17%|▌ | 6.00M/35.2M [00:00<00:02, 11.6M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 24%|▋ | 8.29M/35.2M [00:00<00:02, 11.2M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 29%|▉ | 10.3M/35.2M [00:00<00:02, 10.5M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 36%|█ | 12.5M/35.2M [00:01<00:02, 10.5M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 41%|█▏ | 14.6M/35.2M [00:01<00:02, 10.2M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 48%|█▍ | 16.7M/35.2M [00:01<00:01, 10.2M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 53%|█▌ | 18.7M/35.2M [00:01<00:01, 9.99M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 60%|█▊ | 21.0M/35.2M [00:02<00:01, 10.1M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 65%|█▉ | 23.0M/35.2M [00:02<00:01, 9.92M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 72%|██▏| 25.2M/35.2M [00:02<00:00, 10.1M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 77%|██▎| 27.3M/35.2M [00:02<00:00, 10.0M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 83%|██▍| 29.3M/35.2M [00:02<00:00, 9.89M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 90%|██▋| 31.6M/35.2M [00:03<00:00, 10.1M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 96%|██▊| 33.7M/35.2M [00:03<00:00, 10.0M Bytes/s]
Total: 78%|████████████████████▏ | 2.28G/2.93G [04:32<01:18, 8.36M Bytes/s]
Get sub-09/s .. _bold.nii.gz: 0%| | 0.00/36.0M [00:00<?, ? Bytes/s]
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Get sub-09/s .. _bold.nii.gz: 11%|▎ | 3.93M/36.0M [00:00<00:02, 13.1M Bytes/s]
Get sub-09/s .. _bold.nii.gz: 16%|▍ | 5.94M/36.0M [00:00<00:02, 10.8M Bytes/s]
Get sub-09/s .. _bold.nii.gz: 23%|▋ | 8.12M/36.0M [00:00<00:02, 10.6M Bytes/s]
Get sub-09/s .. _bold.nii.gz: 28%|▊ | 10.2M/36.0M [00:00<00:02, 10.2M Bytes/s]
Get sub-09/s .. _bold.nii.gz: 34%|█ | 12.3M/36.0M [00:01<00:02, 10.2M Bytes/s]
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Get sub-09/s .. _bold.nii.gz: 52%|█▌ | 18.6M/36.0M [00:01<00:01, 10.1M Bytes/s]
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Get sub-09/s .. _bold.nii.gz: 11%|▎ | 4.05M/36.1M [00:00<00:02, 13.6M Bytes/s]
Get sub-09/s .. _bold.nii.gz: 16%|▍ | 5.95M/36.1M [00:00<00:02, 11.3M Bytes/s]
Get sub-09/s .. _bold.nii.gz: 23%|▋ | 8.25M/36.1M [00:00<00:02, 11.2M Bytes/s]
Get sub-09/s .. _bold.nii.gz: 29%|▊ | 10.5M/36.1M [00:00<00:02, 10.9M Bytes/s]
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Get sub-09/s .. _bold.nii.gz: 42%|█▎ | 15.1M/36.1M [00:01<00:01, 10.9M Bytes/s]
Get sub-09/s .. _bold.nii.gz: 48%|█▍ | 17.3M/36.1M [00:01<00:01, 10.7M Bytes/s]
Get sub-09/s .. _bold.nii.gz: 54%|█▋ | 19.6M/36.1M [00:01<00:01, 10.9M Bytes/s]
Get sub-09/s .. _bold.nii.gz: 61%|█▊ | 21.9M/36.1M [00:01<00:01, 10.8M Bytes/s]
Get sub-09/s .. _bold.nii.gz: 67%|██ | 24.2M/36.1M [00:02<00:01, 10.8M Bytes/s]
Get sub-09/s .. _bold.nii.gz: 73%|██▏| 26.4M/36.1M [00:02<00:00, 10.7M Bytes/s]
Get sub-09/s .. _bold.nii.gz: 80%|██▍| 28.8M/36.1M [00:02<00:00, 10.9M Bytes/s]
Get sub-09/s .. _bold.nii.gz: 86%|██▌| 31.1M/36.1M [00:02<00:00, 10.8M Bytes/s]
Get sub-09/s .. _bold.nii.gz: 92%|██▊| 33.3M/36.1M [00:03<00:00, 10.7M Bytes/s]
Get sub-09/s .. _bold.nii.gz: 99%|██▉| 35.7M/36.1M [00:03<00:00, 10.9M Bytes/s]
Total: 80%|████████████████████▊ | 2.35G/2.93G [04:40<01:09, 8.38M Bytes/s]
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Get sub-09/s .. _bold.nii.gz: 12%|▎ | 4.32M/36.2M [00:00<00:02, 14.4M Bytes/s]
Get sub-09/s .. _bold.nii.gz: 17%|▌ | 6.08M/36.2M [00:00<00:02, 11.0M Bytes/s]
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Get sub-09/s .. _bold.nii.gz: 23%|▋ | 8.42M/36.2M [00:00<00:02, 11.3M Bytes/s]
Get sub-09/s .. _bold.nii.gz: 29%|▊ | 10.4M/36.2M [00:00<00:02, 10.5M Bytes/s]
Get sub-09/s .. _bold.nii.gz: 35%|█ | 12.5M/36.2M [00:01<00:02, 10.4M Bytes/s]
Get sub-09/s .. _bold.nii.gz: 41%|█▏ | 14.8M/36.2M [00:01<00:02, 10.4M Bytes/s]
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Get sub-09/s .. _bold.nii.gz: 58%|█▋ | 21.0M/36.2M [00:02<00:01, 10.0M Bytes/s]
Get sub-09/s .. _bold.nii.gz: 64%|█▉ | 23.1M/36.2M [00:02<00:01, 9.98M Bytes/s]
Get sub-09/s .. _bold.nii.gz: 70%|██ | 25.2M/36.2M [00:02<00:01, 10.0M Bytes/s]
Get sub-09/s .. _bold.nii.gz: 75%|██▏| 27.0M/36.2M [00:02<00:00, 9.59M Bytes/s]
Get sub-09/s .. _bold.nii.gz: 78%|██▎| 28.1M/36.2M [00:02<00:00, 9.55M Bytes/s]
Get sub-09/s .. _bold.nii.gz: 81%|██▍| 29.5M/36.2M [00:02<00:00, 10.3M Bytes/s]
Get sub-09/s .. _bold.nii.gz: 87%|██▌| 31.6M/36.2M [00:03<00:00, 10.2M Bytes/s]
Get sub-09/s .. _bold.nii.gz: 93%|██▊| 33.6M/36.2M [00:03<00:00, 10.0M Bytes/s]
Get sub-09/s .. _bold.nii.gz: 99%|██▉| 35.7M/36.2M [00:03<00:00, 9.99M Bytes/s]
Total: 82%|█████████████████████▍ | 2.42G/2.93G [04:48<01:01, 8.39M Bytes/s]
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Get sub-09/s .. _bold.nii.gz: 12%|▎ | 4.25M/36.2M [00:00<00:02, 14.1M Bytes/s]
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Get sub-09/s .. _bold.nii.gz: 13%|▍ | 4.64M/36.3M [00:00<00:03, 10.4M Bytes/s]
Get sub-09/s .. _bold.nii.gz: 17%|▍ | 6.04M/36.3M [00:00<00:02, 11.4M Bytes/s]
Get sub-09/s .. _bold.nii.gz: 23%|▋ | 8.31M/36.3M [00:00<00:02, 11.1M Bytes/s]
Get sub-09/s .. _bold.nii.gz: 28%|▊ | 10.2M/36.3M [00:00<00:02, 10.2M Bytes/s]
Get sub-09/s .. _bold.nii.gz: 34%|█ | 12.3M/36.3M [00:01<00:02, 10.2M Bytes/s]
Get sub-09/s .. _bold.nii.gz: 39%|█▏ | 14.3M/36.3M [00:01<00:02, 9.84M Bytes/s]
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Get sub-09/s .. _bold.nii.gz: 51%|█▌ | 18.4M/36.3M [00:01<00:01, 9.77M Bytes/s]
Get sub-09/s .. _bold.nii.gz: 56%|█▋ | 20.5M/36.3M [00:02<00:01, 9.73M Bytes/s]
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Get sub-09/s .. _bold.nii.gz: 68%|██ | 24.6M/36.3M [00:02<00:01, 9.65M Bytes/s]
Get sub-09/s .. _bold.nii.gz: 74%|██▏| 26.7M/36.3M [00:02<00:00, 9.80M Bytes/s]
Get sub-09/s .. _bold.nii.gz: 79%|██▍| 28.8M/36.3M [00:02<00:00, 9.84M Bytes/s]
Get sub-09/s .. _bold.nii.gz: 85%|██▌| 30.8M/36.3M [00:03<00:00, 9.65M Bytes/s]
Get sub-09/s .. _bold.nii.gz: 90%|██▋| 32.6M/36.3M [00:03<00:00, 9.39M Bytes/s]
Get sub-09/s .. _bold.nii.gz: 96%|██▉| 34.9M/36.3M [00:03<00:00, 9.81M Bytes/s]
Total: 85%|██████████████████████ | 2.49G/2.93G [04:56<00:52, 8.40M Bytes/s]
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Get sub-09/s .. _bold.nii.gz: 13%|▍ | 4.65M/36.3M [00:00<00:03, 10.5M Bytes/s]
Get sub-09/s .. _bold.nii.gz: 16%|▍ | 5.97M/36.3M [00:00<00:02, 11.3M Bytes/s]
Get sub-09/s .. _bold.nii.gz: 23%|▋ | 8.28M/36.3M [00:00<00:02, 11.1M Bytes/s]
Get sub-09/s .. _bold.nii.gz: 28%|▊ | 10.2M/36.3M [00:00<00:02, 10.2M Bytes/s]
Get sub-09/s .. _bold.nii.gz: 34%|█ | 12.3M/36.3M [00:01<00:02, 10.2M Bytes/s]
Get sub-09/s .. _bold.nii.gz: 39%|█▏ | 14.2M/36.3M [00:01<00:02, 9.68M Bytes/s]
Get sub-09/s .. _bold.nii.gz: 45%|█▎ | 16.2M/36.3M [00:01<00:02, 9.68M Bytes/s]
Get sub-09/s .. _bold.nii.gz: 50%|█▌ | 18.3M/36.3M [00:01<00:01, 9.76M Bytes/s]
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Get sub-09/s .. _bold.nii.gz: 61%|█▊ | 22.3M/36.3M [00:02<00:01, 9.56M Bytes/s]
Get sub-09/s .. _bold.nii.gz: 67%|██ | 24.5M/36.3M [00:02<00:01, 9.73M Bytes/s]
Get sub-09/s .. _bold.nii.gz: 73%|██▏| 26.4M/36.3M [00:02<00:01, 9.55M Bytes/s]
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Get sub-09/s .. _bold.nii.gz: 89%|██▋| 32.5M/36.3M [00:03<00:00, 9.61M Bytes/s]
Get sub-09/s .. _bold.nii.gz: 95%|██▊| 34.5M/36.3M [00:03<00:00, 9.54M Bytes/s]
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Get sub-09/s .. _bold.nii.gz: 7%|▏ | 2.71M/36.3M [00:00<00:02, 13.6M Bytes/s]
Get sub-09/s .. _bold.nii.gz: 11%|▎ | 4.11M/36.3M [00:00<00:02, 13.8M Bytes/s]
Get sub-09/s .. _bold.nii.gz: 17%|▍ | 6.00M/36.3M [00:00<00:02, 11.4M Bytes/s]
Get sub-09/s .. _bold.nii.gz: 23%|▋ | 8.26M/36.3M [00:00<00:02, 11.3M Bytes/s]
Get sub-09/s .. _bold.nii.gz: 29%|▊ | 10.5M/36.3M [00:00<00:02, 10.9M Bytes/s]
Get sub-09/s .. _bold.nii.gz: 35%|█ | 12.7M/36.3M [00:01<00:02, 10.8M Bytes/s]
Get sub-09/s .. _bold.nii.gz: 41%|█▏ | 15.1M/36.3M [00:01<00:01, 10.9M Bytes/s]
Get sub-09/s .. _bold.nii.gz: 48%|█▍ | 17.3M/36.3M [00:01<00:01, 10.8M Bytes/s]
Get sub-09/s .. _bold.nii.gz: 54%|█▌ | 19.7M/36.3M [00:01<00:01, 10.9M Bytes/s]
Get sub-09/s .. _bold.nii.gz: 60%|█▊ | 22.0M/36.3M [00:01<00:01, 10.8M Bytes/s]
Get sub-09/s .. _bold.nii.gz: 67%|█▉ | 24.2M/36.3M [00:02<00:01, 10.8M Bytes/s]
Get sub-09/s .. _bold.nii.gz: 73%|██▏| 26.4M/36.3M [00:02<00:00, 10.6M Bytes/s]
Get sub-09/s .. _bold.nii.gz: 79%|██▍| 28.8M/36.3M [00:02<00:00, 10.8M Bytes/s]
Get sub-09/s .. _bold.nii.gz: 85%|██▌| 31.0M/36.3M [00:02<00:00, 10.8M Bytes/s]
Get sub-09/s .. _bold.nii.gz: 92%|██▊| 33.4M/36.3M [00:03<00:00, 10.8M Bytes/s]
Get sub-09/s .. _bold.nii.gz: 98%|██▉| 35.6M/36.3M [00:03<00:00, 10.7M Bytes/s]
Total: 87%|██████████████████████▋ | 2.56G/2.93G [05:04<00:43, 8.41M Bytes/s]
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Get sub-09/s .. _bold.nii.gz: 12%|▎ | 4.22M/36.3M [00:00<00:02, 14.1M Bytes/s]
Get sub-09/s .. _bold.nii.gz: 16%|▍ | 5.94M/36.3M [00:00<00:02, 11.1M Bytes/s]
Get sub-09/s .. _bold.nii.gz: 23%|▋ | 8.33M/36.3M [00:00<00:02, 11.2M Bytes/s]
Get sub-09/s .. _bold.nii.gz: 29%|▊ | 10.4M/36.3M [00:00<00:02, 10.7M Bytes/s]
Get sub-09/s .. _bold.nii.gz: 35%|█ | 12.7M/36.3M [00:01<00:02, 10.6M Bytes/s]
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Get sub-09/s .. _bold.nii.gz: 78%|██▎| 28.1M/36.3M [00:02<00:00, 10.6M Bytes/s]
Get sub-09/s .. _bold.nii.gz: 83%|██▍| 30.2M/36.3M [00:02<00:00, 10.3M Bytes/s]
Get sub-09/s .. _bold.nii.gz: 89%|██▋| 32.5M/36.3M [00:03<00:00, 10.4M Bytes/s]
Get sub-09/s .. _bold.nii.gz: 95%|██▊| 34.6M/36.3M [00:03<00:00, 10.3M Bytes/s]
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Get sub-06/s .. _bold.nii.gz: 12%|▎ | 4.27M/36.8M [00:00<00:02, 14.2M Bytes/s]
Get sub-06/s .. _bold.nii.gz: 16%|▍ | 5.95M/36.8M [00:00<00:02, 10.7M Bytes/s]
Get sub-06/s .. _bold.nii.gz: 22%|▋ | 8.14M/36.8M [00:00<00:02, 10.6M Bytes/s]
Get sub-06/s .. _bold.nii.gz: 28%|▊ | 10.3M/36.8M [00:00<00:02, 10.4M Bytes/s]
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Total: 90%|███████████████████████▍ | 2.64G/2.93G [05:13<00:35, 8.42M Bytes/s]
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Total: 92%|████████████████████████ | 2.71G/2.93G [05:20<00:26, 8.45M Bytes/s]
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Total: 95%|████████████████████████▋ | 2.79G/2.93G [05:28<00:17, 8.47M Bytes/s]
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Total: 97%|█████████████████████████▎| 2.86G/2.93G [05:36<00:08, 8.49M Bytes/s]
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get(ok): sub-04/ses-mri/func/sub-04_ses-mri_task-facerecognition_run-01_bold.nii.gz (file)
get(ok): sub-04/ses-mri/func/sub-04_ses-mri_task-facerecognition_run-02_bold.nii.gz (file)
get(ok): sub-04/ses-mri/func/sub-04_ses-mri_task-facerecognition_run-03_bold.nii.gz (file)
get(ok): sub-04/ses-mri/func/sub-04_ses-mri_task-facerecognition_run-04_bold.nii.gz (file)
get(ok): sub-04/ses-mri/func/sub-04_ses-mri_task-facerecognition_run-05_bold.nii.gz (file)
get(ok): sub-04/ses-mri/func/sub-04_ses-mri_task-facerecognition_run-06_bold.nii.gz (file)
get(ok): sub-04/ses-mri/func/sub-04_ses-mri_task-facerecognition_run-07_bold.nii.gz (file)
get(ok): sub-04/ses-mri/func/sub-04_ses-mri_task-facerecognition_run-08_bold.nii.gz (file)
get(ok): sub-04/ses-mri/func/sub-04_ses-mri_task-facerecognition_run-09_bold.nii.gz (file)
get(ok): sub-01/ses-mri/func/sub-01_ses-mri_task-facerecognition_run-01_bold.nii.gz (file)
[1 similar message has been suppressed; disable with datalad.ui.suppress-similar-results=off]
[71 similar messages have been suppressed; disable with datalad.ui.suppress-similar-results=off]
get(ok): sub-04/ses-mri/func (directory)
get(ok): sub-01/ses-mri/func (directory)
get(ok): sub-05/ses-mri/func (directory)
get(ok): sub-03/ses-mri/func (directory)
get(ok): sub-02/ses-mri/func (directory)
get(ok): sub-08/ses-mri/func (directory)
get(ok): sub-07/ses-mri/func (directory)
get(ok): sub-09/ses-mri/func (directory)
get(ok): sub-06/ses-mri/func (directory)
action summary:
get (ok: 90)
# get preprocessed normalized func images of 9 individuals
PATTERN_PREP = "sub-0*/ses-mri/func/*space-MNI152NLin6Asym_desc-smoothAROMAnonaggr_bold.nii.gz"
!datalad install https://github.com/OpenNeuroDerivatives/ds000117-fmriprep.git
!cd ds000117-fmriprep && datalad get $PATTERN_PREP
It is highly recommended to configure Git before using DataLad. Set both 'user.name' and 'user.email' configuration variables.
Clone attempt: 0%| | 0.00/2.00 [00:00<?, ? Candidate locations/s]
Enumerating: 0.00 Objects [00:00, ? Objects/s]
Counting: 0%| | 0.00/103k [00:00<?, ? Objects/s]
Compressing: 0%| | 0.00/85.9k [00:00<?, ? Objects/s]
Receiving: 0%| | 0.00/103k [00:00<?, ? Objects/s]
Receiving: 5%|█ | 5.14k/103k [00:00<00:01, 49.7k Objects/s]
Receiving: 16%|███▎ | 16.5k/103k [00:00<00:01, 85.4k Objects/s]
Receiving: 28%|█████▉ | 28.8k/103k [00:00<00:00, 99.5k Objects/s]
Receiving: 40%|████████▊ | 41.1k/103k [00:00<00:00, 106k Objects/s]
Receiving: 56%|████████████▎ | 57.6k/103k [00:00<00:00, 126k Objects/s]
Receiving: 69%|██████████████▍ | 71.0k/103k [00:01<00:01, 26.1k Objects/s]
Receiving: 93%|███████████████████▌ | 95.7k/103k [00:01<00:00, 45.5k Objects/s]
Resolving: 0%| | 0.00/13.2k [00:00<?, ? Deltas/s]
Resolving: 70%|██████████████▋ | 9.24k/13.2k [00:00<00:00, 92.2k Deltas/s]
[INFO ] scanning for unlocked files (this may take some time)
[INFO ] Remote origin not usable by git-annex; setting annex-ignore
install(ok): /storage/tmp/tmp7ql6rn7s/ds000117-fmriprep (dataset)
It is highly recommended to configure Git before using DataLad. Set both 'user.name' and 'user.email' configuration variables.
Total: 0%| | 0.00/39.4G [00:00<?, ? Bytes/s]
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Total: 1%|▎ | 473M/39.4G [00:35<48:45, 13.3M Bytes/s]
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Get sub-03/s .. _bold.nii.gz: 34%|█▋ | 168M/492M [00:12<00:23, 13.8M Bytes/s]
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Get sub-03/s .. _bold.nii.gz: 37%|█▊ | 182M/492M [00:13<00:21, 14.1M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 38%|█▉ | 185M/492M [00:13<00:22, 13.8M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 38%|█▉ | 188M/492M [00:13<00:21, 14.0M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 39%|█▉ | 191M/492M [00:13<00:21, 14.1M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 39%|█▉ | 192M/492M [00:13<00:21, 13.8M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 39%|█▉ | 194M/492M [00:13<00:21, 13.7M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 40%|█▉ | 196M/492M [00:14<00:20, 14.6M Bytes/s]
Total: 1%|▎ | 473M/39.4G [00:50<1:08:36, 9.47M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 40%|██ | 198M/492M [00:14<00:20, 14.4M Bytes/s]
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Get sub-03/s .. _bold.nii.gz: 100%|████▉| 490M/492M [00:35<00:00, 13.4M Bytes/s]
Total: 2%|▋ | 965M/39.4G [01:13<48:33, 13.2M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 0%| | 0.00/517M [00:00<?, ? Bytes/s]
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Total: 2%|▋ | 965M/39.4G [01:30<59:48, 10.7M Bytes/s]
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Total: 4%|▉ | 1.48G/39.4G [01:49<46:44, 13.5M Bytes/s]
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Get sub-02/s .. _bold.nii.gz: 26%|█▎ | 123M/470M [00:09<00:27, 12.6M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 27%|█▎ | 126M/470M [00:09<00:27, 12.5M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 27%|█▎ | 127M/470M [00:10<00:27, 12.7M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 28%|█▍ | 130M/470M [00:10<00:27, 12.5M Bytes/s]
Total: 4%|▉ | 1.48G/39.4G [02:00<51:14, 12.3M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 28%|█▍ | 132M/470M [00:10<00:26, 12.7M Bytes/s]
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Total: 5%|█▎ | 1.95G/39.4G [02:26<46:52, 13.3M Bytes/s]
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Get sub-03/s .. _bold.nii.gz: 31%|█▌ | 154M/494M [00:12<00:27, 12.5M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 32%|█▌ | 156M/494M [00:12<00:26, 12.7M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 32%|█▌ | 158M/494M [00:12<00:26, 12.6M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 32%|█▌ | 160M/494M [00:12<00:24, 13.6M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 33%|█▋ | 162M/494M [00:12<00:26, 12.3M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 33%|█▋ | 164M/494M [00:12<00:24, 13.3M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 34%|█▋ | 166M/494M [00:13<00:26, 12.2M Bytes/s]
Total: 5%|█▎ | 1.95G/39.4G [02:40<51:13, 12.2M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 34%|█▋ | 168M/494M [00:13<00:25, 13.0M Bytes/s]
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Get sub-03/s .. _bold.nii.gz: 0%| | 0.00/494M [00:00<?, ? Bytes/s]
Total: 6%|█▌ | 2.45G/39.4G [03:07<47:14, 13.1M Bytes/s]
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Get sub-01/s .. _bold.nii.gz: 1%| | 2.79M/511M [00:00<00:36, 13.9M Bytes/s]
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Total: 6%|█▌ | 2.45G/39.4G [03:20<50:25, 12.2M Bytes/s]
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Get sub-01/s .. _bold.nii.gz: 100%|████▉| 511M/511M [00:40<00:00, 14.2M Bytes/s]
Total: 7%|█▉ | 2.96G/39.4G [03:49<47:11, 12.9M Bytes/s]
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Get sub-05/s .. _bold.nii.gz: 23%|█▏ | 115M/498M [00:09<00:30, 12.4M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 23%|█▏ | 117M/498M [00:09<00:30, 12.7M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 24%|█▏ | 119M/498M [00:09<00:29, 12.9M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 24%|█▏ | 122M/498M [00:09<00:30, 12.5M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 25%|█▏ | 123M/498M [00:09<00:29, 12.8M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 25%|█▎ | 126M/498M [00:09<00:29, 12.5M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 26%|█▎ | 127M/498M [00:09<00:28, 12.9M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 26%|█▎ | 130M/498M [00:10<00:29, 12.5M Bytes/s]
Total: 7%|█▉ | 2.96G/39.4G [04:00<49:21, 12.3M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 27%|█▎ | 132M/498M [00:10<00:28, 12.6M Bytes/s]
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Total: 9%|██▎ | 3.45G/39.4G [04:30<47:02, 12.7M Bytes/s]
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Total: 9%|██▎ | 3.45G/39.4G [04:50<50:21, 11.9M Bytes/s]
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Total: 10%|██▌ | 3.97G/39.4G [05:11<46:25, 12.7M Bytes/s]
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Total: 10%|██▌ | 3.97G/39.4G [05:30<49:12, 12.0M Bytes/s]
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Get sub-08/s .. _bold.nii.gz: 100%|████▉| 507M/508M [00:37<00:00, 14.4M Bytes/s]
Total: 11%|██▉ | 4.47G/39.4G [05:51<45:46, 12.7M Bytes/s]
Get sub-09/s .. _bold.nii.gz: 0%| | 0.00/243M [00:00<?, ? Bytes/s]
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Total: 11%|██▉ | 4.47G/39.4G [06:10<48:12, 12.1M Bytes/s]
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Total: 12%|███ | 4.72G/39.4G [06:11<45:35, 12.7M Bytes/s]
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Total: 12%|███ | 4.72G/39.4G [06:30<47:51, 12.1M Bytes/s]
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Get sub-05/s .. _bold.nii.gz: 100%|████▉| 493M/495M [00:34<00:00, 14.7M Bytes/s]
Total: 13%|███▍ | 5.21G/39.4G [06:47<44:36, 12.8M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 0%| | 0.00/490M [00:00<?, ? Bytes/s]
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Total: 13%|███▍ | 5.21G/39.4G [07:00<45:58, 12.4M Bytes/s]
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Total: 14%|███▊ | 5.70G/39.4G [07:24<43:51, 12.8M Bytes/s]
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Get sub-05/s .. _bold.nii.gz: 36%|█▊ | 179M/497M [00:12<00:22, 14.1M Bytes/s]
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Get sub-05/s .. _bold.nii.gz: 38%|█▉ | 190M/497M [00:13<00:22, 13.9M Bytes/s]
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Get sub-05/s .. _bold.nii.gz: 39%|█▉ | 194M/497M [00:13<00:21, 13.8M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 40%|█▉ | 197M/497M [00:14<00:21, 13.8M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 40%|█▉ | 198M/497M [00:14<00:21, 13.9M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 40%|██ | 201M/497M [00:14<00:21, 13.8M Bytes/s]
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Get sub-05/s .. _bold.nii.gz: 42%|██ | 207M/497M [00:14<00:20, 13.9M Bytes/s]
Total: 14%|███▊ | 5.70G/39.4G [07:40<45:21, 12.4M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 42%|██ | 210M/497M [00:15<00:20, 14.1M Bytes/s]
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Total: 16%|████ | 6.20G/39.4G [08:01<43:02, 12.9M Bytes/s]
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Total: 16%|████ | 6.20G/39.4G [08:20<44:41, 12.4M Bytes/s]
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Get sub-04/s .. _bold.nii.gz: 97%|████▊| 500M/514M [00:34<00:00, 15.0M Bytes/s]
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Get sub-04/s .. _bold.nii.gz: 98%|████▉| 504M/514M [00:34<00:00, 15.0M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 98%|████▉| 506M/514M [00:35<00:00, 14.9M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 99%|████▉| 509M/514M [00:35<00:00, 15.3M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 99%|████▉| 511M/514M [00:35<00:00, 14.8M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 100%|████▉| 513M/514M [00:35<00:00, 16.3M Bytes/s]
Total: 17%|████▍ | 6.71G/39.4G [08:38<42:08, 12.9M Bytes/s]
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Get sub-05/s .. _bold.nii.gz: 26%|█▎ | 131M/497M [00:09<00:27, 13.3M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 27%|█▎ | 132M/497M [00:09<00:27, 13.3M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 27%|█▎ | 135M/497M [00:10<00:26, 13.4M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 28%|█▍ | 138M/497M [00:10<00:26, 13.5M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 28%|█▍ | 140M/497M [00:10<00:27, 13.2M Bytes/s]
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Get sub-05/s .. _bold.nii.gz: 29%|█▍ | 144M/497M [00:10<00:26, 13.2M Bytes/s]
Total: 17%|████▍ | 6.71G/39.4G [08:50<43:03, 12.7M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 30%|█▍ | 147M/497M [00:11<00:26, 13.2M Bytes/s]
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Total: 18%|████▊ | 7.21G/39.4G [09:18<41:35, 12.9M Bytes/s]
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Get sub-03/s .. _bold.nii.gz: 25%|█▎ | 126M/498M [00:09<00:26, 14.2M Bytes/s]
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Get sub-03/s .. _bold.nii.gz: 28%|█▍ | 141M/498M [00:10<00:24, 14.4M Bytes/s]
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Get sub-03/s .. _bold.nii.gz: 31%|█▌ | 153M/498M [00:11<00:24, 14.1M Bytes/s]
Total: 18%|████▊ | 7.21G/39.4G [09:30<42:27, 12.6M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 31%|█▌ | 156M/498M [00:11<00:24, 14.0M Bytes/s]
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Get sub-03/s .. _bold.nii.gz: 96%|████▊| 479M/498M [00:34<00:01, 13.3M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 97%|████▊| 482M/498M [00:35<00:01, 13.3M Bytes/s]
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Get sub-03/s .. _bold.nii.gz: 98%|████▉| 488M/498M [00:35<00:00, 12.6M Bytes/s]
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Get sub-03/s .. _bold.nii.gz: 99%|████▉| 492M/498M [00:35<00:00, 14.1M Bytes/s]
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Get sub-03/s .. _bold.nii.gz: 100%|████▉| 497M/498M [00:36<00:00, 13.7M Bytes/s]
Total: 20%|█████ | 7.71G/39.4G [09:57<40:57, 12.9M Bytes/s]
Get sub-09/s .. _bold.nii.gz: 0%| | 0.00/480M [00:00<?, ? Bytes/s]
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Total: 20%|█████ | 7.71G/39.4G [10:10<41:51, 12.6M Bytes/s]
Get sub-09/s .. _bold.nii.gz: 30%|█▍ | 142M/480M [00:12<00:26, 12.9M Bytes/s]
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Total: 21%|█████▍ | 8.19G/39.4G [10:37<40:34, 12.8M Bytes/s]
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Get sub-05/s .. _bold.nii.gz: 31%|█▌ | 152M/496M [00:11<00:27, 12.4M Bytes/s]
Total: 21%|█████▍ | 8.19G/39.4G [10:50<41:20, 12.6M Bytes/s]
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Total: 22%|█████▋ | 8.68G/39.4G [11:18<40:04, 12.8M Bytes/s]
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Get sub-07/s .. _bold.nii.gz: 27%|█▎ | 139M/516M [00:10<00:26, 14.1M Bytes/s]
Total: 22%|█████▋ | 8.68G/39.4G [11:30<40:43, 12.6M Bytes/s]
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Total: 23%|██████ | 9.20G/39.4G [11:57<39:16, 12.8M Bytes/s]
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Get sub-01/s .. _bold.nii.gz: 32%|█▌ | 166M/514M [00:11<00:24, 14.1M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 33%|█▋ | 168M/514M [00:11<00:23, 15.0M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 33%|█▋ | 170M/514M [00:11<00:24, 14.1M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 33%|█▋ | 172M/514M [00:11<00:22, 14.9M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 34%|█▋ | 175M/514M [00:12<00:23, 14.3M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 34%|█▋ | 177M/514M [00:12<00:21, 15.6M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 35%|█▊ | 180M/514M [00:12<00:23, 14.4M Bytes/s]
Total: 23%|██████ | 9.20G/39.4G [12:10<39:59, 12.6M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 35%|█▊ | 182M/514M [00:12<00:21, 15.7M Bytes/s]
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Total: 25%|██████▍ | 9.72G/39.4G [12:34<38:29, 12.9M Bytes/s]
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Total: 25%|██████▍ | 9.72G/39.4G [12:50<39:15, 12.6M Bytes/s]
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Get sub-02/s .. _bold.nii.gz: 96%|████▊| 453M/471M [00:33<00:01, 13.8M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 97%|████▊| 455M/471M [00:33<00:01, 14.8M Bytes/s]
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Get sub-02/s .. _bold.nii.gz: 99%|████▉| 466M/471M [00:34<00:00, 13.9M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 99%|████▉| 468M/471M [00:34<00:00, 13.8M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 100%|████▉| 470M/471M [00:34<00:00, 13.8M Bytes/s]
Total: 26%|██████▋ | 10.2G/39.4G [13:11<37:52, 12.9M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 0%| | 0.00/468M [00:00<?, ? Bytes/s]
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Total: 26%|██████▋ | 10.2G/39.4G [13:30<38:46, 12.6M Bytes/s]
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Get sub-02/s .. _bold.nii.gz: 97%|████▊| 456M/468M [00:34<00:00, 13.7M Bytes/s]
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Get sub-02/s .. _bold.nii.gz: 100%|████▉| 467M/468M [00:35<00:00, 12.9M Bytes/s]
Total: 27%|███████ | 10.7G/39.4G [13:48<37:19, 12.9M Bytes/s]
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Get sub-05/s .. _bold.nii.gz: 27%|█▎ | 136M/497M [00:09<00:26, 13.7M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 28%|█▍ | 138M/497M [00:10<00:25, 14.0M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 28%|█▍ | 140M/497M [00:10<00:25, 13.8M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 29%|█▍ | 142M/497M [00:10<00:25, 14.1M Bytes/s]
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Get sub-05/s .. _bold.nii.gz: 29%|█▍ | 146M/497M [00:10<00:24, 14.2M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 30%|█▌ | 149M/497M [00:10<00:24, 14.3M Bytes/s]
Total: 27%|███████ | 10.7G/39.4G [14:00<37:49, 12.7M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 31%|█▌ | 152M/497M [00:11<00:25, 13.5M Bytes/s]
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Total: 28%|███████▎ | 11.2G/39.4G [14:24<36:32, 12.9M Bytes/s]
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Get sub-07/s .. _bold.nii.gz: 38%|█▉ | 197M/522M [00:14<00:22, 14.5M Bytes/s]
Total: 28%|███████▎ | 11.2G/39.4G [14:40<37:12, 12.7M Bytes/s]
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Get sub-07/s .. _bold.nii.gz: 93%|████▋| 488M/522M [00:32<00:01, 17.7M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 94%|████▋| 490M/522M [00:32<00:01, 16.4M Bytes/s]
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Get sub-07/s .. _bold.nii.gz: 95%|████▊| 496M/522M [00:32<00:01, 15.4M Bytes/s]
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Get sub-07/s .. _bold.nii.gz: 96%|████▊| 504M/522M [00:33<00:01, 14.8M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 97%|████▊| 505M/522M [00:33<00:01, 15.0M Bytes/s]
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Get sub-07/s .. _bold.nii.gz: 98%|████▉| 510M/522M [00:33<00:00, 14.8M Bytes/s]
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Get sub-07/s .. _bold.nii.gz: 99%|████▉| 516M/522M [00:33<00:00, 14.8M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 99%|████▉| 517M/522M [00:34<00:00, 14.9M Bytes/s]
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Get sub-07/s .. _bold.nii.gz: 100%|████▉| 522M/522M [00:34<00:00, 15.0M Bytes/s]
Total: 30%|███████▋ | 11.7G/39.4G [15:01<35:43, 13.0M Bytes/s]
Get sub-06/s .. _bold.nii.gz: 0%| | 0.00/498M [00:00<?, ? Bytes/s]
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Get sub-06/s .. _bold.nii.gz: 2%| | 7.50M/498M [00:00<00:28, 17.5M Bytes/s]
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Total: 30%|███████▋ | 11.7G/39.4G [15:20<36:28, 12.7M Bytes/s]
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Get sub-06/s .. _bold.nii.gz: 99%|████▉| 495M/498M [00:31<00:00, 16.3M Bytes/s]
Get sub-06/s .. _bold.nii.gz: 100%|████▉| 497M/498M [00:31<00:00, 17.2M Bytes/s]
Total: 31%|████████ | 12.2G/39.4G [15:34<34:53, 13.0M Bytes/s]
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Get sub-07/s .. _bold.nii.gz: 39%|█▉ | 198M/514M [00:12<00:18, 17.0M Bytes/s]
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Get sub-07/s .. _bold.nii.gz: 41%|██ | 209M/514M [00:12<00:20, 14.6M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 41%|██ | 212M/514M [00:13<00:21, 14.3M Bytes/s]
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Get sub-07/s .. _bold.nii.gz: 42%|██ | 215M/514M [00:13<00:20, 14.4M Bytes/s]
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Get sub-07/s .. _bold.nii.gz: 43%|██▏ | 222M/514M [00:13<00:17, 17.0M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 44%|██▏ | 224M/514M [00:13<00:16, 17.4M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 44%|██▏ | 228M/514M [00:14<00:16, 17.5M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 45%|██▎ | 231M/514M [00:14<00:15, 17.8M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 45%|██▎ | 233M/514M [00:14<00:15, 18.0M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 46%|██▎ | 235M/514M [00:14<00:15, 18.1M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 46%|██▎ | 238M/514M [00:14<00:15, 18.1M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 47%|██▎ | 241M/514M [00:14<00:15, 17.9M Bytes/s]
Total: 31%|████████ | 12.2G/39.4G [15:50<35:28, 12.8M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 47%|██▎ | 243M/514M [00:15<00:16, 16.6M Bytes/s]
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Total: 32%|████████▎ | 12.7G/39.4G [16:09<34:04, 13.1M Bytes/s]
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Get sub-08/s .. _bold.nii.gz: 25%|█▎ | 129M/507M [00:08<00:20, 18.4M Bytes/s]
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Get sub-08/s .. _bold.nii.gz: 29%|█▍ | 145M/507M [00:09<00:19, 18.1M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 29%|█▍ | 147M/507M [00:09<00:19, 18.5M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 30%|█▍ | 151M/507M [00:09<00:19, 18.1M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 31%|█▌ | 155M/507M [00:09<00:19, 18.3M Bytes/s]
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Get sub-08/s .. _bold.nii.gz: 32%|█▌ | 163M/507M [00:10<00:19, 17.4M Bytes/s]
Total: 32%|████████▎ | 12.7G/39.4G [16:20<34:26, 12.9M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 33%|█▋ | 167M/507M [00:10<00:19, 17.7M Bytes/s]
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Total: 33%|████████▋ | 13.2G/39.4G [16:43<33:15, 13.2M Bytes/s]
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Total: 33%|████████▋ | 13.2G/39.4G [17:00<33:49, 12.9M Bytes/s]
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Get sub-08/s .. _bold.nii.gz: 93%|████▋| 468M/501M [00:28<00:02, 16.1M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 94%|████▋| 471M/501M [00:29<00:02, 15.4M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 94%|████▋| 473M/501M [00:29<00:01, 14.9M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 95%|████▋| 475M/501M [00:29<00:01, 14.8M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 95%|████▊| 476M/501M [00:29<00:01, 14.7M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 96%|████▊| 479M/501M [00:29<00:01, 14.4M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 96%|████▊| 482M/501M [00:29<00:01, 14.3M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 96%|████▊| 483M/501M [00:30<00:01, 14.3M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 97%|████▊| 485M/501M [00:30<00:01, 14.3M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 97%|████▊| 487M/501M [00:30<00:01, 14.3M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 98%|████▉| 489M/501M [00:30<00:00, 14.5M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 98%|████▉| 491M/501M [00:30<00:00, 14.6M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 98%|████▉| 492M/501M [00:30<00:00, 14.8M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 99%|████▉| 494M/501M [00:30<00:00, 15.2M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 99%|████▉| 496M/501M [00:30<00:00, 15.7M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 99%|████▉| 498M/501M [00:30<00:00, 16.5M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 100%|████▉| 500M/501M [00:31<00:00, 17.5M Bytes/s]
Total: 35%|█████████ | 13.7G/39.4G [17:16<32:27, 13.2M Bytes/s]
Get sub-06/s .. _bold.nii.gz: 0%| | 0.00/499M [00:00<?, ? Bytes/s]
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Total: 35%|█████████ | 13.7G/39.4G [17:30<32:53, 13.0M Bytes/s]
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Get sub-06/s .. _bold.nii.gz: 0%| | 0.00/499M [00:00<?, ? Bytes/s]
Total: 36%|█████████▎ | 14.2G/39.4G [17:49<31:43, 13.3M Bytes/s]
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Get sub-05/s .. _bold.nii.gz: 25%|█▎ | 126M/497M [00:09<00:27, 13.5M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 26%|█▎ | 127M/497M [00:09<00:26, 13.8M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 26%|█▎ | 129M/497M [00:09<00:26, 14.1M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 26%|█▎ | 130M/497M [00:09<00:25, 14.1M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 27%|█▎ | 132M/497M [00:09<00:25, 14.2M Bytes/s]
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Get sub-05/s .. _bold.nii.gz: 27%|█▎ | 135M/497M [00:09<00:24, 14.6M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 27%|█▎ | 137M/497M [00:09<00:24, 14.9M Bytes/s]
Total: 36%|█████████▎ | 14.2G/39.4G [18:00<32:00, 13.1M Bytes/s]
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Total: 37%|█████████▋ | 14.7G/39.4G [18:24<31:00, 13.3M Bytes/s]
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Get sub-08/s .. _bold.nii.gz: 71%|███▌ | 185M/259M [00:11<00:05, 14.2M Bytes/s]
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Get sub-08/s .. _bold.nii.gz: 77%|███▊ | 201M/259M [00:12<00:03, 15.5M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 79%|███▉ | 204M/259M [00:13<00:03, 15.3M Bytes/s]
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Get sub-08/s .. _bold.nii.gz: 80%|████ | 208M/259M [00:13<00:03, 14.6M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 81%|████ | 209M/259M [00:13<00:03, 14.7M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 81%|████ | 211M/259M [00:13<00:03, 14.7M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 82%|████ | 212M/259M [00:13<00:03, 14.9M Bytes/s]
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Get sub-08/s .. _bold.nii.gz: 84%|████▏| 217M/259M [00:13<00:02, 15.7M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 84%|████▏| 219M/259M [00:14<00:02, 16.2M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 85%|████▎| 221M/259M [00:14<00:02, 15.6M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 86%|████▎| 223M/259M [00:14<00:02, 14.7M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 87%|████▎| 226M/259M [00:14<00:02, 14.2M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 88%|████▍| 227M/259M [00:14<00:02, 14.3M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 88%|████▍| 229M/259M [00:14<00:02, 14.4M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 89%|████▍| 230M/259M [00:14<00:02, 14.4M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 89%|████▍| 232M/259M [00:14<00:01, 14.5M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 90%|████▍| 233M/259M [00:15<00:01, 14.6M Bytes/s]
Total: 37%|█████████▋ | 14.7G/39.4G [18:40<31:26, 13.1M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 91%|████▌| 235M/259M [00:15<00:01, 14.7M Bytes/s]
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Get sub-08/s .. _bold.nii.gz: 95%|████▊| 247M/259M [00:15<00:00, 14.7M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 96%|████▊| 250M/259M [00:16<00:00, 14.6M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 97%|████▊| 253M/259M [00:16<00:00, 14.5M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 98%|████▉| 255M/259M [00:16<00:00, 14.3M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 99%|████▉| 257M/259M [00:16<00:00, 14.5M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 100%|████▉| 258M/259M [00:16<00:00, 14.6M Bytes/s]
Total: 38%|█████████▊ | 14.9G/39.4G [18:42<30:39, 13.3M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 0%| | 0.00/496M [00:00<?, ? Bytes/s]
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Get sub-03/s .. _bold.nii.gz: 3%| | 14.3M/496M [00:13<02:47, 2.88M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 3%| | 15.1M/496M [00:13<02:31, 3.18M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 3%| | 15.4M/496M [00:13<02:32, 3.16M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 3%|▏ | 15.8M/496M [00:13<02:33, 3.14M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 3%|▏ | 16.3M/496M [00:13<02:13, 3.60M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 3%|▏ | 17.0M/496M [00:14<02:17, 3.48M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 4%|▏ | 17.6M/496M [00:14<02:01, 3.93M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 4%|▏ | 18.4M/496M [00:14<02:05, 3.82M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 4%|▏ | 19.0M/496M [00:14<01:52, 4.25M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 4%|▏ | 19.8M/496M [00:14<01:51, 4.29M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 4%|▏ | 20.6M/496M [00:14<01:44, 4.57M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 4%|▏ | 21.4M/496M [00:15<01:47, 4.43M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 4%|▏ | 22.2M/496M [00:15<01:35, 4.96M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 5%|▏ | 23.2M/496M [00:15<01:37, 4.84M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 5%|▏ | 24.0M/496M [00:15<01:27, 5.38M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 5%|▏ | 25.0M/496M [00:15<01:30, 5.23M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 5%|▏ | 25.9M/496M [00:15<01:20, 5.84M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 5%|▏ | 27.0M/496M [00:16<01:22, 5.69M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 6%|▏ | 28.0M/496M [00:16<01:14, 6.27M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 6%|▏ | 29.2M/496M [00:16<01:16, 6.10M Bytes/s]
Total: 38%|█████████▊ | 14.9G/39.4G [19:00<31:07, 13.1M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 6%|▏ | 30.5M/496M [00:16<01:13, 6.38M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 6%|▎ | 31.5M/496M [00:16<01:09, 6.67M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 7%|▎ | 32.5M/496M [00:16<01:02, 7.44M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 7%|▎ | 34.0M/496M [00:16<01:04, 7.12M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 7%|▎ | 35.0M/496M [00:17<00:59, 7.77M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 7%|▎ | 36.1M/496M [00:17<00:59, 7.69M Bytes/s]
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Get sub-03/s .. _bold.nii.gz: 9%|▎ | 45.5M/496M [00:18<00:47, 9.56M Bytes/s]
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Get sub-03/s .. _bold.nii.gz: 10%|▍ | 47.7M/496M [00:18<00:46, 9.68M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 10%|▍ | 49.0M/496M [00:18<00:42, 10.5M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 10%|▍ | 51.1M/496M [00:18<00:40, 10.9M Bytes/s]
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Get sub-03/s .. _bold.nii.gz: 11%|▍ | 54.9M/496M [00:19<00:38, 11.5M Bytes/s]
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Get sub-03/s .. _bold.nii.gz: 17%|▋ | 85.0M/496M [00:21<00:26, 15.7M Bytes/s]
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Get sub-03/s .. _bold.nii.gz: 18%|▋ | 88.6M/496M [00:21<00:24, 16.9M Bytes/s]
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Get sub-03/s .. _bold.nii.gz: 19%|▊ | 95.4M/496M [00:21<00:22, 17.6M Bytes/s]
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Get sub-03/s .. _bold.nii.gz: 20%|█ | 100M/496M [00:21<00:21, 18.6M Bytes/s]
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Total: 39%|██████████▏ | 15.4G/39.4G [19:31<30:20, 13.2M Bytes/s]
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Get sub-06/s .. _bold.nii.gz: 97%|████▊| 483M/497M [00:32<00:00, 17.3M Bytes/s]
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Get sub-06/s .. _bold.nii.gz: 98%|████▉| 488M/497M [00:32<00:00, 17.2M Bytes/s]
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Get sub-06/s .. _bold.nii.gz: 100%|████▉| 496M/497M [00:33<00:00, 15.4M Bytes/s]
Total: 40%|██████████▌ | 15.9G/39.4G [20:07<29:39, 13.2M Bytes/s]
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Get sub-05/s .. _bold.nii.gz: 34%|█▋ | 169M/496M [00:11<00:22, 14.5M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 35%|█▋ | 172M/496M [00:11<00:21, 15.0M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 35%|█▊ | 175M/496M [00:11<00:21, 14.7M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 36%|█▊ | 178M/496M [00:11<00:21, 14.5M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 36%|█▊ | 179M/496M [00:12<00:21, 14.6M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 37%|█▊ | 182M/496M [00:12<00:21, 14.6M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 37%|█▊ | 184M/496M [00:12<00:21, 14.6M Bytes/s]
Total: 40%|██████████▌ | 15.9G/39.4G [20:20<29:57, 13.1M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 38%|█▉ | 186M/496M [00:12<00:21, 14.6M Bytes/s]
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Total: 42%|██████████▊ | 16.4G/39.4G [20:42<28:57, 13.2M Bytes/s]
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Get sub-03/s .. _bold.nii.gz: 55%|██▋ | 271M/496M [00:16<00:12, 17.6M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 55%|██▊ | 274M/496M [00:17<00:12, 18.3M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 56%|██▊ | 277M/496M [00:17<00:11, 18.3M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 56%|██▊ | 279M/496M [00:17<00:11, 18.1M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 57%|██▊ | 282M/496M [00:17<00:13, 16.4M Bytes/s]
Total: 42%|██████████▊ | 16.4G/39.4G [21:00<29:22, 13.0M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 57%|██▊ | 284M/496M [00:17<00:13, 15.3M Bytes/s]
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Get sub-03/s .. _bold.nii.gz: 92%|████▌| 456M/496M [00:28<00:02, 14.5M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 93%|████▋| 459M/496M [00:28<00:02, 15.0M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 93%|████▋| 462M/496M [00:28<00:02, 15.8M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 94%|████▋| 465M/496M [00:29<00:01, 17.1M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 95%|████▋| 469M/496M [00:29<00:01, 17.3M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 95%|████▊| 471M/496M [00:29<00:01, 17.6M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 96%|████▊| 475M/496M [00:29<00:01, 17.8M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 96%|████▊| 478M/496M [00:29<00:01, 17.7M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 97%|████▊| 480M/496M [00:29<00:00, 17.3M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 97%|████▊| 482M/496M [00:30<00:00, 15.6M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 98%|████▉| 485M/496M [00:30<00:00, 14.7M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 98%|████▉| 486M/496M [00:30<00:00, 14.4M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 99%|████▉| 489M/496M [00:30<00:00, 13.7M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 99%|████▉| 491M/496M [00:30<00:00, 13.4M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 99%|████▉| 493M/496M [00:30<00:00, 13.4M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 100%|████▉| 494M/496M [00:31<00:00, 13.5M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 100%|████▉| 495M/496M [00:31<00:00, 13.5M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 0%| | 0.00/496M [00:00<?, ? Bytes/s]
Total: 43%|███████████▏ | 16.9G/39.4G [21:15<28:14, 13.3M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 0%| | 0.00/492M [00:00<?, ? Bytes/s]
Get sub-03/s .. _bold.nii.gz: 1%| | 2.53M/492M [00:00<00:29, 16.8M Bytes/s]
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Get sub-03/s .. _bold.nii.gz: 1%| | 6.25M/492M [00:00<00:32, 14.8M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 2%| | 8.64M/492M [00:00<00:38, 12.7M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 2%| | 10.2M/492M [00:00<00:36, 13.3M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 3%| | 12.7M/492M [00:00<00:38, 12.5M Bytes/s]
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Get sub-03/s .. _bold.nii.gz: 16%|▋ | 78.3M/492M [00:06<00:33, 12.5M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 16%|▋ | 81.1M/492M [00:06<00:31, 13.1M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 17%|▋ | 83.5M/492M [00:06<00:33, 12.3M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 18%|▋ | 86.2M/492M [00:06<00:31, 12.7M Bytes/s]
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Get sub-03/s .. _bold.nii.gz: 18%|▋ | 89.2M/492M [00:07<00:30, 13.2M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 18%|▋ | 91.0M/492M [00:07<00:32, 12.5M Bytes/s]
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Get sub-03/s .. _bold.nii.gz: 21%|█ | 102M/492M [00:08<00:31, 12.3M Bytes/s]
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Total: 43%|███████████▏ | 16.9G/39.4G [21:30<28:34, 13.1M Bytes/s]
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Get sub-03/s .. _bold.nii.gz: 93%|████▋| 460M/492M [00:35<00:02, 14.9M Bytes/s]
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Get sub-03/s .. _bold.nii.gz: 95%|████▋| 467M/492M [00:35<00:01, 14.4M Bytes/s]
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Get sub-03/s .. _bold.nii.gz: 96%|████▊| 473M/492M [00:36<00:01, 14.5M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 96%|████▊| 474M/492M [00:36<00:01, 14.7M Bytes/s]
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Get sub-03/s .. _bold.nii.gz: 97%|████▊| 478M/492M [00:36<00:00, 14.4M Bytes/s]
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Get sub-03/s .. _bold.nii.gz: 99%|████▉| 486M/492M [00:37<00:00, 14.5M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 99%|████▉| 488M/492M [00:37<00:00, 14.6M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 100%|████▉| 490M/492M [00:37<00:00, 14.5M Bytes/s]
Total: 44%|███████████▍ | 17.4G/39.4G [21:55<27:40, 13.3M Bytes/s]
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Get sub-08/s .. _bold.nii.gz: 33%|█▋ | 168M/501M [00:12<00:25, 13.2M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 34%|█▋ | 169M/501M [00:12<00:24, 13.5M Bytes/s]
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Get sub-08/s .. _bold.nii.gz: 35%|█▋ | 173M/501M [00:12<00:24, 13.5M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 35%|█▋ | 175M/501M [00:12<00:23, 13.7M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 35%|█▊ | 177M/501M [00:13<00:23, 13.7M Bytes/s]
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Get sub-08/s .. _bold.nii.gz: 36%|█▊ | 182M/501M [00:13<00:23, 13.7M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 37%|█▊ | 184M/501M [00:13<00:23, 13.5M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 37%|█▊ | 186M/501M [00:13<00:23, 13.6M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 38%|█▉ | 188M/501M [00:13<00:22, 13.9M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 38%|█▉ | 191M/501M [00:14<00:22, 13.5M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 38%|█▉ | 193M/501M [00:14<00:22, 13.5M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 39%|█▉ | 194M/501M [00:14<00:22, 13.5M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 39%|█▉ | 195M/501M [00:14<00:22, 13.6M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 40%|█▉ | 198M/501M [00:14<00:22, 13.5M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 40%|█▉ | 199M/501M [00:14<00:21, 13.7M Bytes/s]
Total: 44%|███████████▍ | 17.4G/39.4G [22:10<27:59, 13.1M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 40%|██ | 202M/501M [00:14<00:21, 13.6M Bytes/s]
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Total: 45%|███████████▊ | 17.9G/39.4G [22:32<27:03, 13.3M Bytes/s]
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Total: 45%|███████████▊ | 17.9G/39.4G [22:50<27:23, 13.1M Bytes/s]
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Total: 47%|████████████▏ | 18.4G/39.4G [23:10<26:22, 13.3M Bytes/s]
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Get sub-06/s .. _bold.nii.gz: 21%|▊ | 52.6M/255M [00:19<00:18, 11.2M Bytes/s]
Total: 47%|████████████▏ | 18.4G/39.4G [23:30<26:45, 13.1M Bytes/s]
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Get sub-06/s .. _bold.nii.gz: 95%|████▋| 241M/255M [00:30<00:00, 16.6M Bytes/s]
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Total: 47%|████████████▎ | 18.7G/39.4G [23:43<26:19, 13.1M Bytes/s]
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Get sub-09/s .. _bold.nii.gz: 47%|██▎ | 224M/478M [00:15<00:16, 15.9M Bytes/s]
Get sub-09/s .. _bold.nii.gz: 47%|██▎ | 226M/478M [00:15<00:17, 14.6M Bytes/s]
Get sub-09/s .. _bold.nii.gz: 48%|██▍ | 228M/478M [00:15<00:16, 14.8M Bytes/s]
Get sub-09/s .. _bold.nii.gz: 48%|██▍ | 231M/478M [00:15<00:16, 14.8M Bytes/s]
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Get sub-09/s .. _bold.nii.gz: 50%|██▍ | 236M/478M [00:15<00:16, 14.7M Bytes/s]
Total: 47%|████████████▎ | 18.7G/39.4G [24:00<26:37, 13.0M Bytes/s]
Get sub-09/s .. _bold.nii.gz: 50%|██▌ | 239M/478M [00:16<00:16, 14.5M Bytes/s]
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Total: 49%|████████████▋ | 19.2G/39.4G [24:17<25:40, 13.2M Bytes/s]
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Get sub-09/s .. _bold.nii.gz: 32%|█▌ | 154M/477M [00:12<00:25, 12.5M Bytes/s]
Get sub-09/s .. _bold.nii.gz: 33%|█▋ | 157M/477M [00:12<00:24, 12.8M Bytes/s]
Total: 49%|████████████▋ | 19.2G/39.4G [24:30<25:53, 13.0M Bytes/s]
Get sub-09/s .. _bold.nii.gz: 33%|█▋ | 158M/477M [00:12<00:25, 12.6M Bytes/s]
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Total: 50%|████████████▉ | 19.7G/39.4G [24:53<25:03, 13.2M Bytes/s]
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Total: 50%|████████████▉ | 19.7G/39.4G [25:10<25:20, 13.0M Bytes/s]
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Get sub-06/s .. _bold.nii.gz: 98%|████▉| 489M/499M [00:35<00:00, 15.1M Bytes/s]
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Get sub-06/s .. _bold.nii.gz: 99%|████▉| 492M/499M [00:36<00:00, 15.7M Bytes/s]
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Get sub-06/s .. _bold.nii.gz: 100%|████▉| 497M/499M [00:36<00:00, 15.2M Bytes/s]
Total: 51%|█████████████▎ | 20.2G/39.4G [25:32<24:26, 13.2M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 0%| | 0.00/514M [00:00<?, ? Bytes/s]
Get sub-04/s .. _bold.nii.gz: 1%| | 3.57M/514M [00:00<00:28, 17.9M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 1%| | 6.41M/514M [00:00<00:34, 14.7M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 2%| | 8.95M/514M [00:00<00:38, 13.1M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 2%| | 11.8M/514M [00:00<00:37, 13.5M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 3%| | 13.2M/514M [00:00<00:38, 13.0M Bytes/s]
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Total: 51%|█████████████▎ | 20.2G/39.4G [25:50<24:43, 13.0M Bytes/s]
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Get sub-04/s .. _bold.nii.gz: 96%|████▊| 494M/514M [00:37<00:01, 13.3M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 97%|████▊| 497M/514M [00:38<00:01, 13.4M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 97%|████▊| 499M/514M [00:38<00:01, 12.8M Bytes/s]
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Total: 52%|█████████████▌ | 20.7G/39.4G [26:13<23:49, 13.1M Bytes/s]
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Get sub-04/s .. _bold.nii.gz: 16%|▋ | 84.6M/514M [00:06<00:34, 12.6M Bytes/s]
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Get sub-04/s .. _bold.nii.gz: 18%|▋ | 91.1M/514M [00:07<00:33, 12.5M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 18%|▋ | 93.6M/514M [00:07<00:32, 12.8M Bytes/s]
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Get sub-04/s .. _bold.nii.gz: 19%|▊ | 99.3M/514M [00:07<00:32, 12.6M Bytes/s]
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Get sub-04/s .. _bold.nii.gz: 24%|█▏ | 122M/514M [00:09<00:29, 13.1M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 24%|█▏ | 123M/514M [00:09<00:30, 12.7M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 24%|█▏ | 125M/514M [00:09<00:29, 13.0M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 25%|█▏ | 128M/514M [00:10<00:29, 13.0M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 25%|█▎ | 130M/514M [00:10<00:29, 13.0M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 26%|█▎ | 132M/514M [00:10<00:29, 13.1M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 26%|█▎ | 135M/514M [00:10<00:30, 12.5M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 26%|█▎ | 136M/514M [00:10<00:28, 13.0M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 27%|█▎ | 139M/514M [00:10<00:29, 12.6M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 27%|█▎ | 140M/514M [00:11<00:28, 13.1M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 28%|█▍ | 143M/514M [00:11<00:28, 13.2M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 28%|█▍ | 145M/514M [00:11<00:28, 12.9M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 29%|█▍ | 147M/514M [00:11<00:29, 12.6M Bytes/s]
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Get sub-04/s .. _bold.nii.gz: 29%|█▍ | 151M/514M [00:11<00:28, 12.9M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 30%|█▍ | 154M/514M [00:12<00:28, 12.6M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 30%|█▌ | 155M/514M [00:12<00:28, 12.8M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 31%|█▌ | 158M/514M [00:12<00:28, 12.7M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 31%|█▌ | 159M/514M [00:12<00:27, 12.9M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 31%|█▌ | 162M/514M [00:12<00:26, 13.2M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 32%|█▌ | 164M/514M [00:12<00:27, 12.7M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 32%|█▌ | 166M/514M [00:12<00:26, 13.1M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 33%|█▋ | 168M/514M [00:13<00:27, 12.7M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 33%|█▋ | 170M/514M [00:13<00:26, 13.1M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 33%|█▋ | 172M/514M [00:13<00:26, 12.9M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 34%|█▋ | 175M/514M [00:13<00:26, 12.8M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 34%|█▋ | 176M/514M [00:13<00:25, 13.3M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 35%|█▋ | 179M/514M [00:13<00:26, 12.6M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 35%|█▊ | 180M/514M [00:14<00:25, 13.1M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 35%|█▊ | 182M/514M [00:14<00:25, 12.9M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 36%|█▊ | 184M/514M [00:14<00:24, 13.4M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 36%|█▊ | 187M/514M [00:14<00:26, 12.5M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 37%|█▊ | 189M/514M [00:14<00:24, 13.5M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 37%|█▊ | 191M/514M [00:14<00:26, 12.4M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 37%|█▊ | 193M/514M [00:15<00:24, 13.4M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 38%|█▉ | 195M/514M [00:15<00:24, 13.0M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 38%|█▉ | 197M/514M [00:15<00:23, 13.2M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 39%|█▉ | 199M/514M [00:15<00:25, 12.3M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 39%|█▉ | 201M/514M [00:15<00:23, 13.1M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 40%|█▉ | 204M/514M [00:15<00:24, 12.5M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 40%|█▉ | 205M/514M [00:16<00:23, 13.3M Bytes/s]
Total: 52%|█████████████▌ | 20.7G/39.4G [26:30<24:04, 13.0M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 40%|██ | 208M/514M [00:16<00:23, 13.2M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 41%|██ | 209M/514M [00:16<00:23, 13.1M Bytes/s]
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Get sub-04/s .. _bold.nii.gz: 94%|████▋| 485M/514M [00:37<00:01, 15.2M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 95%|████▋| 488M/514M [00:37<00:01, 15.1M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 95%|████▊| 489M/514M [00:37<00:01, 15.0M Bytes/s]
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Get sub-04/s .. _bold.nii.gz: 97%|████▊| 497M/514M [00:37<00:01, 14.8M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 97%|████▊| 500M/514M [00:38<00:00, 14.8M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 97%|████▊| 501M/514M [00:38<00:00, 14.9M Bytes/s]
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Get sub-04/s .. _bold.nii.gz: 100%|████▉| 514M/514M [00:38<00:00, 17.3M Bytes/s]
Total: 54%|█████████████▉ | 21.2G/39.4G [26:54<23:11, 13.1M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 0%| | 0.00/502M [00:00<?, ? Bytes/s]
Get sub-04/s .. _bold.nii.gz: 1%| | 3.92M/502M [00:00<00:25, 19.7M Bytes/s]
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Total: 54%|█████████████▉ | 21.2G/39.4G [27:10<23:25, 13.0M Bytes/s]
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Get sub-04/s .. _bold.nii.gz: 77%|███▊ | 389M/502M [00:25<00:06, 17.3M Bytes/s]
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Get sub-04/s .. _bold.nii.gz: 93%|████▋| 465M/502M [00:30<00:02, 14.4M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 93%|████▋| 468M/502M [00:30<00:02, 14.4M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 93%|████▋| 469M/502M [00:31<00:02, 14.4M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 94%|████▋| 471M/502M [00:31<00:02, 14.5M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 94%|████▋| 472M/502M [00:31<00:02, 14.7M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 94%|████▋| 474M/502M [00:31<00:01, 15.1M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 95%|████▋| 476M/502M [00:31<00:01, 15.7M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 95%|████▊| 477M/502M [00:31<00:01, 16.7M Bytes/s]
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Get sub-04/s .. _bold.nii.gz: 96%|████▊| 481M/502M [00:31<00:01, 17.8M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 97%|████▊| 485M/502M [00:31<00:00, 17.7M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 97%|████▊| 488M/502M [00:32<00:00, 16.4M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 97%|████▊| 489M/502M [00:32<00:00, 15.7M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 98%|████▉| 492M/502M [00:32<00:00, 15.2M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 99%|████▉| 495M/502M [00:32<00:00, 15.0M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 99%|████▉| 497M/502M [00:32<00:00, 15.0M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 99%|████▉| 499M/502M [00:32<00:00, 14.8M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 100%|████▉| 502M/502M [00:33<00:00, 14.7M Bytes/s]
Total: 55%|██████████████▎ | 21.7G/39.4G [27:29<22:30, 13.1M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 0%| | 0.00/472M [00:00<?, ? Bytes/s]
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Get sub-02/s .. _bold.nii.gz: 17%|▋ | 81.1M/472M [00:06<00:31, 12.6M Bytes/s]
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Get sub-02/s .. _bold.nii.gz: 25%|█▎ | 120M/472M [00:09<00:26, 13.2M Bytes/s]
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Get sub-02/s .. _bold.nii.gz: 26%|█▎ | 124M/472M [00:09<00:26, 13.3M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 27%|█▎ | 127M/472M [00:09<00:27, 12.7M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 27%|█▎ | 128M/472M [00:09<00:26, 13.2M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 28%|█▍ | 131M/472M [00:10<00:27, 12.6M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 28%|█▍ | 132M/472M [00:10<00:26, 13.0M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 28%|█▍ | 134M/472M [00:10<00:25, 13.4M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 29%|█▍ | 135M/472M [00:10<00:24, 13.9M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 29%|█▍ | 138M/472M [00:10<00:24, 13.6M Bytes/s]
Total: 55%|██████████████▎ | 21.7G/39.4G [27:40<22:39, 13.1M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 30%|█▍ | 139M/472M [00:10<00:24, 13.7M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 30%|█▍ | 141M/472M [00:10<00:23, 14.0M Bytes/s]
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Get sub-02/s .. _bold.nii.gz: 45%|██▎ | 213M/472M [00:15<00:17, 14.5M Bytes/s]
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Get sub-02/s .. _bold.nii.gz: 47%|██▎ | 220M/472M [00:16<00:17, 14.2M Bytes/s]
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Get sub-02/s .. _bold.nii.gz: 54%|██▋ | 253M/472M [00:18<00:15, 14.2M Bytes/s]
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Get sub-02/s .. _bold.nii.gz: 54%|██▋ | 257M/472M [00:19<00:14, 14.4M Bytes/s]
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Get sub-02/s .. _bold.nii.gz: 55%|██▊ | 261M/472M [00:19<00:14, 14.4M Bytes/s]
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Get sub-02/s .. _bold.nii.gz: 57%|██▊ | 269M/472M [00:19<00:13, 14.8M Bytes/s]
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Get sub-02/s .. _bold.nii.gz: 58%|██▉ | 275M/472M [00:20<00:13, 14.4M Bytes/s]
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Get sub-02/s .. _bold.nii.gz: 100%|████▉| 471M/472M [00:33<00:00, 14.9M Bytes/s]
Total: 56%|██████████████▌ | 22.2G/39.4G [28:05<21:54, 13.1M Bytes/s]
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Get sub-09/s .. _bold.nii.gz: 36%|█▊ | 174M/479M [00:13<00:21, 14.4M Bytes/s]
Get sub-09/s .. _bold.nii.gz: 37%|█▊ | 175M/479M [00:13<00:21, 14.4M Bytes/s]
Get sub-09/s .. _bold.nii.gz: 37%|█▊ | 177M/479M [00:13<00:20, 14.4M Bytes/s]
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Get sub-09/s .. _bold.nii.gz: 38%|█▉ | 182M/479M [00:14<00:21, 14.1M Bytes/s]
Total: 56%|██████████████▌ | 22.2G/39.4G [28:20<22:06, 13.0M Bytes/s]
Get sub-09/s .. _bold.nii.gz: 39%|█▉ | 185M/479M [00:14<00:20, 14.0M Bytes/s]
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Get sub-09/s .. _bold.nii.gz: 94%|████▋| 449M/479M [00:32<00:02, 15.1M Bytes/s]
Get sub-09/s .. _bold.nii.gz: 94%|████▋| 450M/479M [00:32<00:01, 14.7M Bytes/s]
Get sub-09/s .. _bold.nii.gz: 94%|████▋| 453M/479M [00:32<00:01, 14.4M Bytes/s]
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Get sub-09/s .. _bold.nii.gz: 96%|████▊| 460M/479M [00:32<00:01, 14.1M Bytes/s]
Get sub-09/s .. _bold.nii.gz: 96%|████▊| 461M/479M [00:33<00:01, 14.2M Bytes/s]
Get sub-09/s .. _bold.nii.gz: 97%|████▊| 463M/479M [00:33<00:01, 14.3M Bytes/s]
Get sub-09/s .. _bold.nii.gz: 97%|████▊| 464M/479M [00:33<00:01, 14.4M Bytes/s]
Get sub-09/s .. _bold.nii.gz: 98%|████▉| 468M/479M [00:33<00:00, 16.0M Bytes/s]
Get sub-09/s .. _bold.nii.gz: 98%|████▉| 470M/479M [00:33<00:00, 17.0M Bytes/s]
Get sub-09/s .. _bold.nii.gz: 98%|████▉| 472M/479M [00:33<00:00, 17.5M Bytes/s]
Get sub-09/s .. _bold.nii.gz: 99%|████▉| 474M/479M [00:33<00:00, 17.4M Bytes/s]
Get sub-09/s .. _bold.nii.gz: 100%|████▉| 477M/479M [00:33<00:00, 17.9M Bytes/s]
Total: 57%|██████████████▉ | 22.6G/39.4G [28:41<21:18, 13.1M Bytes/s]
Get sub-06/s .. _bold.nii.gz: 0%| | 0.00/498M [00:00<?, ? Bytes/s]
Get sub-06/s .. _bold.nii.gz: 1%| | 2.60M/498M [00:00<00:38, 13.0M Bytes/s]
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Total: 57%|██████████████▉ | 22.6G/39.4G [29:00<21:31, 13.0M Bytes/s]
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Get sub-06/s .. _bold.nii.gz: 97%|████▊| 484M/498M [00:30<00:00, 15.0M Bytes/s]
Get sub-06/s .. _bold.nii.gz: 98%|████▉| 486M/498M [00:31<00:00, 14.6M Bytes/s]
Get sub-06/s .. _bold.nii.gz: 98%|████▉| 489M/498M [00:31<00:00, 14.4M Bytes/s]
Get sub-06/s .. _bold.nii.gz: 99%|████▉| 492M/498M [00:31<00:00, 14.2M Bytes/s]
Get sub-06/s .. _bold.nii.gz: 99%|████▉| 494M/498M [00:31<00:00, 13.6M Bytes/s]
Get sub-06/s .. _bold.nii.gz: 100%|████▉| 496M/498M [00:31<00:00, 13.6M Bytes/s]
Total: 59%|███████████████▏ | 23.1G/39.4G [29:15<20:37, 13.2M Bytes/s]
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Get sub-06/s .. _bold.nii.gz: 38%|█▉ | 188M/499M [00:12<00:21, 14.8M Bytes/s]
Get sub-06/s .. _bold.nii.gz: 38%|█▉ | 189M/499M [00:12<00:21, 14.6M Bytes/s]
Get sub-06/s .. _bold.nii.gz: 38%|█▉ | 192M/499M [00:12<00:21, 14.2M Bytes/s]
Get sub-06/s .. _bold.nii.gz: 39%|█▉ | 194M/499M [00:12<00:22, 13.6M Bytes/s]
Get sub-06/s .. _bold.nii.gz: 39%|█▉ | 196M/499M [00:12<00:22, 13.6M Bytes/s]
Get sub-06/s .. _bold.nii.gz: 40%|█▉ | 199M/499M [00:13<00:22, 13.5M Bytes/s]
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Get sub-06/s .. _bold.nii.gz: 41%|██ | 203M/499M [00:13<00:22, 13.4M Bytes/s]
Get sub-06/s .. _bold.nii.gz: 41%|██ | 205M/499M [00:13<00:21, 13.5M Bytes/s]
Get sub-06/s .. _bold.nii.gz: 42%|██ | 208M/499M [00:13<00:21, 13.4M Bytes/s]
Get sub-06/s .. _bold.nii.gz: 42%|██ | 209M/499M [00:13<00:21, 13.6M Bytes/s]
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Get sub-06/s .. _bold.nii.gz: 43%|██▏ | 212M/499M [00:14<00:20, 14.1M Bytes/s]
Get sub-06/s .. _bold.nii.gz: 43%|██▏ | 215M/499M [00:14<00:19, 14.6M Bytes/s]
Total: 59%|███████████████▏ | 23.1G/39.4G [29:30<20:47, 13.1M Bytes/s]
Get sub-06/s .. _bold.nii.gz: 43%|██▏ | 217M/499M [00:14<00:19, 14.7M Bytes/s]
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Total: 60%|███████████████▌ | 23.6G/39.4G [29:50<19:57, 13.2M Bytes/s]
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Total: 60%|███████████████▌ | 23.6G/39.4G [30:10<20:10, 13.1M Bytes/s]
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Get sub-01/s .. _bold.nii.gz: 95%|████▋| 487M/514M [00:32<00:01, 14.0M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 95%|████▊| 488M/514M [00:32<00:01, 14.1M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 96%|████▊| 491M/514M [00:33<00:01, 14.1M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 96%|████▊| 493M/514M [00:33<00:01, 14.2M Bytes/s]
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Get sub-01/s .. _bold.nii.gz: 96%|████▊| 496M/514M [00:33<00:01, 14.6M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 97%|████▊| 497M/514M [00:33<00:01, 14.7M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 97%|████▊| 499M/514M [00:33<00:01, 14.8M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 98%|████▉| 501M/514M [00:33<00:00, 14.2M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 98%|████▉| 504M/514M [00:34<00:00, 13.5M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 98%|████▉| 505M/514M [00:34<00:00, 13.4M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 99%|████▉| 508M/514M [00:34<00:00, 13.4M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 99%|████▉| 511M/514M [00:34<00:00, 13.3M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 100%|████▉| 513M/514M [00:34<00:00, 13.0M Bytes/s]
Total: 61%|███████████████▉ | 24.1G/39.4G [30:27<19:17, 13.2M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 0%| | 0.00/473M [00:00<?, ? Bytes/s]
Get sub-02/s .. _bold.nii.gz: 1%| | 3.47M/473M [00:00<00:26, 17.9M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 1%| | 6.26M/473M [00:00<00:32, 14.3M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 2%| | 9.07M/473M [00:00<00:34, 13.4M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 3%| | 11.9M/473M [00:00<00:33, 13.6M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 3%| | 13.4M/473M [00:00<00:33, 13.9M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 3%|▏ | 14.9M/473M [00:01<00:32, 14.3M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 4%|▏ | 17.1M/473M [00:01<00:31, 14.5M Bytes/s]
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Get sub-02/s .. _bold.nii.gz: 5%|▏ | 21.4M/473M [00:01<00:28, 15.7M Bytes/s]
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Get sub-02/s .. _bold.nii.gz: 10%|▍ | 45.3M/473M [00:02<00:26, 15.8M Bytes/s]
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Get sub-02/s .. _bold.nii.gz: 40%|██ | 190M/473M [00:11<00:15, 17.9M Bytes/s]
Total: 61%|███████████████▉ | 24.1G/39.4G [30:40<19:25, 13.1M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 41%|██ | 194M/473M [00:12<00:15, 17.8M Bytes/s]
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Get sub-02/s .. _bold.nii.gz: 77%|███▊ | 362M/473M [00:22<00:06, 17.4M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 77%|███▊ | 365M/473M [00:22<00:05, 18.5M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 78%|███▉ | 368M/473M [00:22<00:05, 17.5M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 78%|███▉ | 370M/473M [00:22<00:05, 17.7M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 79%|███▉ | 374M/473M [00:22<00:05, 17.7M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 80%|███▉ | 377M/473M [00:22<00:05, 17.5M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 81%|████ | 381M/473M [00:23<00:05, 17.5M Bytes/s]
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Get sub-02/s .. _bold.nii.gz: 84%|████▏| 395M/473M [00:23<00:04, 17.4M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 84%|████▏| 398M/473M [00:24<00:03, 18.8M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 85%|████▏| 401M/473M [00:24<00:04, 17.7M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 86%|████▎| 405M/473M [00:24<00:03, 17.9M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 86%|████▎| 407M/473M [00:24<00:03, 18.3M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 87%|████▎| 411M/473M [00:24<00:03, 18.3M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 88%|████▍| 414M/473M [00:24<00:03, 18.0M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 88%|████▍| 418M/473M [00:25<00:03, 17.6M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 89%|████▍| 420M/473M [00:25<00:02, 17.9M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 90%|████▍| 424M/473M [00:25<00:02, 18.2M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 90%|████▌| 427M/473M [00:25<00:02, 17.3M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 91%|████▌| 429M/473M [00:25<00:02, 15.9M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 91%|████▌| 432M/473M [00:26<00:02, 15.5M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 92%|████▌| 435M/473M [00:26<00:02, 15.3M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 93%|████▋| 438M/473M [00:26<00:02, 14.9M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 93%|████▋| 441M/473M [00:26<00:02, 14.8M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 94%|████▋| 442M/473M [00:26<00:02, 14.9M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 94%|████▋| 445M/473M [00:26<00:01, 14.8M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 95%|████▋| 448M/473M [00:27<00:01, 14.8M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 95%|████▊| 450M/473M [00:27<00:01, 15.2M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 96%|████▊| 452M/473M [00:27<00:01, 15.7M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 96%|████▊| 454M/473M [00:27<00:01, 15.9M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 97%|████▊| 457M/473M [00:27<00:01, 15.6M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 97%|████▊| 459M/473M [00:27<00:00, 15.1M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 98%|████▉| 462M/473M [00:28<00:00, 14.9M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 98%|████▉| 465M/473M [00:28<00:00, 14.6M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 99%|████▉| 467M/473M [00:28<00:00, 14.7M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 99%|████▉| 469M/473M [00:28<00:00, 14.3M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 100%|████▉| 472M/473M [00:28<00:00, 14.1M Bytes/s]
Total: 62%|████████████████▏ | 24.6G/39.4G [30:58<18:39, 13.2M Bytes/s]
Get sub-09/s .. _bold.nii.gz: 0%| | 0.00/478M [00:00<?, ? Bytes/s]
Get sub-09/s .. _bold.nii.gz: 0%| | 1.26M/478M [00:00<00:37, 12.6M Bytes/s]
Get sub-09/s .. _bold.nii.gz: 1%| | 2.70M/478M [00:00<00:34, 13.6M Bytes/s]
Get sub-09/s .. _bold.nii.gz: 1%| | 5.70M/478M [00:00<00:32, 14.5M Bytes/s]
Get sub-09/s .. _bold.nii.gz: 2%| | 8.21M/478M [00:00<00:34, 13.5M Bytes/s]
Get sub-09/s .. _bold.nii.gz: 2%| | 9.60M/478M [00:00<00:35, 13.4M Bytes/s]
Get sub-09/s .. _bold.nii.gz: 3%| | 12.2M/478M [00:00<00:35, 13.1M Bytes/s]
Get sub-09/s .. _bold.nii.gz: 3%|▏ | 15.0M/478M [00:01<00:34, 13.4M Bytes/s]
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Get sub-09/s .. _bold.nii.gz: 4%|▏ | 20.5M/478M [00:01<00:33, 13.6M Bytes/s]
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Get sub-09/s .. _bold.nii.gz: 32%|█▌ | 154M/478M [00:10<00:21, 15.1M Bytes/s]
Total: 62%|████████████████▏ | 24.6G/39.4G [31:10<18:45, 13.2M Bytes/s]
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Get sub-09/s .. _bold.nii.gz: 98%|████▉| 466M/478M [00:32<00:00, 16.5M Bytes/s]
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Total: 64%|████████████████▌ | 25.1G/39.4G [31:34<18:02, 13.2M Bytes/s]
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Get sub-07/s .. _bold.nii.gz: 28%|█▍ | 146M/522M [00:09<00:22, 16.5M Bytes/s]
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Get sub-07/s .. _bold.nii.gz: 35%|█▊ | 183M/522M [00:11<00:18, 18.5M Bytes/s]
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Get sub-07/s .. _bold.nii.gz: 37%|█▊ | 195M/522M [00:12<00:22, 14.8M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 38%|█▉ | 197M/522M [00:12<00:22, 14.5M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 38%|█▉ | 200M/522M [00:13<00:22, 14.3M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 39%|█▉ | 201M/522M [00:13<00:22, 14.3M Bytes/s]
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Get sub-07/s .. _bold.nii.gz: 39%|█▉ | 204M/522M [00:13<00:21, 14.6M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 40%|█▉ | 208M/522M [00:13<00:21, 14.8M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 40%|██ | 209M/522M [00:13<00:20, 14.9M Bytes/s]
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Get sub-07/s .. _bold.nii.gz: 42%|██ | 217M/522M [00:14<00:19, 15.7M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 42%|██ | 221M/522M [00:14<00:17, 17.0M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 43%|██▏ | 222M/522M [00:14<00:17, 17.4M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 43%|██▏ | 224M/522M [00:14<00:16, 17.7M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 43%|██▏ | 227M/522M [00:14<00:16, 17.6M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 44%|██▏ | 230M/522M [00:14<00:16, 17.4M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 44%|██▏ | 232M/522M [00:15<00:16, 17.7M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 45%|██▏ | 234M/522M [00:15<00:16, 17.5M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 45%|██▎ | 237M/522M [00:15<00:17, 16.5M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 46%|██▎ | 240M/522M [00:15<00:18, 15.6M Bytes/s]
Total: 64%|████████████████▌ | 25.1G/39.4G [31:50<18:11, 13.1M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 46%|██▎ | 242M/522M [00:15<00:18, 15.2M Bytes/s]
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Total: 65%|████████████████▉ | 25.6G/39.4G [32:10<17:21, 13.3M Bytes/s]
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Total: 65%|████████████████▉ | 25.6G/39.4G [32:30<17:32, 13.1M Bytes/s]
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Get sub-08/s .. _bold.nii.gz: 93%|████▋| 472M/507M [00:30<00:01, 17.6M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 94%|████▋| 475M/507M [00:30<00:01, 16.3M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 94%|████▋| 477M/507M [00:30<00:01, 15.7M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 95%|████▋| 479M/507M [00:30<00:01, 15.6M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 95%|████▊| 482M/507M [00:31<00:01, 15.1M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 96%|████▊| 484M/507M [00:31<00:01, 14.9M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 96%|████▊| 486M/507M [00:31<00:01, 14.6M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 97%|████▊| 489M/507M [00:31<00:01, 14.5M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 97%|████▊| 491M/507M [00:31<00:01, 14.8M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 98%|████▉| 494M/507M [00:31<00:00, 15.7M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 98%|████▉| 496M/507M [00:32<00:00, 16.5M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 99%|████▉| 500M/507M [00:32<00:00, 16.9M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 99%|████▉| 502M/507M [00:32<00:00, 17.5M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 100%|████▉| 505M/507M [00:32<00:00, 17.0M Bytes/s]
Total: 66%|█████████████████▏ | 26.1G/39.4G [32:44<16:41, 13.3M Bytes/s]
Get sub-09/s .. _bold.nii.gz: 0%| | 0.00/478M [00:00<?, ? Bytes/s]
Get sub-09/s .. _bold.nii.gz: 0%| | 15.9k/478M [00:00<1:04:13, 124k Bytes/s]
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Get sub-09/s .. _bold.nii.gz: 0%| | 1.02M/478M [00:01<05:08, 1.55M Bytes/s]
Get sub-09/s .. _bold.nii.gz: 0%| | 2.05M/478M [00:01<02:39, 2.99M Bytes/s]
Get sub-09/s .. _bold.nii.gz: 1%| | 3.58M/478M [00:01<01:24, 5.62M Bytes/s]
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Get sub-09/s .. _bold.nii.gz: 2%| | 7.18M/478M [00:01<00:50, 9.38M Bytes/s]
Get sub-09/s .. _bold.nii.gz: 2%| | 8.36M/478M [00:01<00:46, 10.0M Bytes/s]
Get sub-09/s .. _bold.nii.gz: 2%| | 9.74M/478M [00:01<00:42, 11.0M Bytes/s]
Get sub-09/s .. _bold.nii.gz: 2%| | 10.9M/478M [00:02<00:41, 11.3M Bytes/s]
Get sub-09/s .. _bold.nii.gz: 3%| | 12.3M/478M [00:02<00:38, 12.0M Bytes/s]
Get sub-09/s .. _bold.nii.gz: 3%| | 14.6M/478M [00:02<00:40, 11.6M Bytes/s]
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Total: 66%|█████████████████▏ | 26.1G/39.4G [33:00<16:49, 13.2M Bytes/s]
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Total: 67%|█████████████████▌ | 26.6G/39.4G [33:24<16:06, 13.3M Bytes/s]
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Get sub-07/s .. _bold.nii.gz: 34%|█▋ | 180M/522M [00:13<00:25, 13.5M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 35%|█▋ | 181M/522M [00:13<00:24, 14.0M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 35%|█▊ | 184M/522M [00:13<00:24, 13.8M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 36%|█▊ | 187M/522M [00:13<00:24, 13.5M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 36%|█▊ | 188M/522M [00:13<00:24, 13.6M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 36%|█▊ | 189M/522M [00:13<00:24, 13.6M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 37%|█▊ | 192M/522M [00:13<00:23, 13.8M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 37%|█▊ | 195M/522M [00:14<00:23, 13.7M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 38%|█▉ | 196M/522M [00:14<00:23, 13.7M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 38%|█▉ | 199M/522M [00:14<00:23, 13.7M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 38%|█▉ | 201M/522M [00:14<00:23, 13.7M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 39%|█▉ | 202M/522M [00:14<00:23, 13.6M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 39%|█▉ | 204M/522M [00:14<00:22, 13.9M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 40%|█▉ | 206M/522M [00:15<00:22, 14.0M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 40%|██ | 209M/522M [00:15<00:22, 13.6M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 40%|██ | 211M/522M [00:15<00:22, 14.1M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 41%|██ | 213M/522M [00:15<00:22, 13.6M Bytes/s]
Total: 67%|█████████████████▌ | 26.6G/39.4G [33:40<16:14, 13.2M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 41%|██ | 215M/522M [00:15<00:20, 14.7M Bytes/s]
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Get sub-07/s .. _bold.nii.gz: 97%|████▊| 505M/522M [00:35<00:01, 14.5M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 97%|████▊| 507M/522M [00:35<00:00, 14.6M Bytes/s]
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Get sub-07/s .. _bold.nii.gz: 99%|████▉| 516M/522M [00:36<00:00, 14.8M Bytes/s]
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Get sub-07/s .. _bold.nii.gz: 100%|████▉| 521M/522M [00:36<00:00, 14.4M Bytes/s]
Total: 69%|█████████████████▉ | 27.1G/39.4G [34:03<15:27, 13.3M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 0%| | 0.00/496M [00:00<?, ? Bytes/s]
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Total: 69%|█████████████████▉ | 27.1G/39.4G [34:20<15:35, 13.2M Bytes/s]
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Get sub-05/s .. _bold.nii.gz: 89%|████▍| 440M/496M [00:33<00:04, 13.4M Bytes/s]
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Get sub-05/s .. _bold.nii.gz: 89%|████▍| 444M/496M [00:33<00:04, 13.0M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 90%|████▍| 447M/496M [00:33<00:03, 13.1M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 90%|████▌| 449M/496M [00:34<00:03, 13.1M Bytes/s]
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Get sub-05/s .. _bold.nii.gz: 91%|████▌| 453M/496M [00:34<00:03, 13.1M Bytes/s]
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Get sub-05/s .. _bold.nii.gz: 92%|████▌| 458M/496M [00:34<00:02, 12.9M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 93%|████▋| 461M/496M [00:35<00:02, 13.0M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 93%|████▋| 462M/496M [00:35<00:02, 12.7M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 94%|████▋| 465M/496M [00:35<00:02, 13.1M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 94%|████▋| 467M/496M [00:35<00:02, 12.6M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 94%|████▋| 468M/496M [00:35<00:02, 13.0M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 95%|████▋| 469M/496M [00:35<00:02, 13.0M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 95%|████▋| 471M/496M [00:35<00:01, 13.4M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 95%|████▊| 473M/496M [00:36<00:01, 12.9M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 96%|████▊| 475M/496M [00:36<00:01, 13.1M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 96%|████▊| 477M/496M [00:36<00:01, 13.2M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 96%|████▊| 479M/496M [00:36<00:01, 12.6M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 97%|████▊| 480M/496M [00:36<00:01, 13.0M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 97%|████▊| 483M/496M [00:36<00:01, 12.8M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 98%|████▉| 485M/496M [00:36<00:00, 12.9M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 98%|████▉| 488M/496M [00:37<00:00, 12.5M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 99%|████▉| 489M/496M [00:37<00:00, 12.8M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 99%|████▉| 492M/496M [00:37<00:00, 13.4M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 100%|████▉| 494M/496M [00:37<00:00, 12.3M Bytes/s]
Get sub-05/s .. _bold.nii.gz: 100%|████▉| 496M/496M [00:37<00:00, 12.7M Bytes/s]
Total: 70%|██████████████████▏ | 27.6G/39.4G [34:43<14:51, 13.3M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 0%| | 0.00/498M [00:00<?, ? Bytes/s]
Get sub-03/s .. _bold.nii.gz: 1%| | 3.56M/498M [00:00<00:26, 18.7M Bytes/s]
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Get sub-03/s .. _bold.nii.gz: 27%|█▎ | 133M/498M [00:10<00:28, 13.0M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 27%|█▎ | 136M/498M [00:10<00:27, 13.1M Bytes/s]
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Get sub-03/s .. _bold.nii.gz: 32%|█▌ | 159M/498M [00:12<00:25, 13.4M Bytes/s]
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Get sub-03/s .. _bold.nii.gz: 33%|█▋ | 163M/498M [00:12<00:25, 13.1M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 33%|█▋ | 166M/498M [00:12<00:25, 12.9M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 34%|█▋ | 167M/498M [00:12<00:24, 13.3M Bytes/s]
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Get sub-03/s .. _bold.nii.gz: 35%|█▋ | 174M/498M [00:13<00:24, 13.3M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 35%|█▊ | 177M/498M [00:13<00:24, 13.0M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 36%|█▊ | 178M/498M [00:13<00:24, 13.3M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 36%|█▊ | 181M/498M [00:13<00:24, 13.2M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 37%|█▊ | 182M/498M [00:13<00:23, 13.2M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 37%|█▊ | 185M/498M [00:14<00:23, 13.2M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 38%|█▉ | 187M/498M [00:14<00:24, 12.9M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 38%|█▉ | 189M/498M [00:14<00:23, 13.1M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 38%|█▉ | 191M/498M [00:14<00:23, 13.3M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 39%|█▉ | 194M/498M [00:14<00:23, 12.9M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 39%|█▉ | 195M/498M [00:14<00:22, 13.3M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 40%|█▉ | 198M/498M [00:15<00:23, 13.0M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 40%|█▉ | 199M/498M [00:15<00:22, 13.1M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 41%|██ | 202M/498M [00:15<00:22, 13.4M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 41%|██ | 205M/498M [00:15<00:22, 13.0M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 41%|██ | 206M/498M [00:15<00:21, 13.5M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 42%|██ | 209M/498M [00:15<00:22, 12.9M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 42%|██ | 210M/498M [00:15<00:21, 13.4M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 43%|██▏ | 213M/498M [00:16<00:21, 13.3M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 43%|██▏ | 215M/498M [00:16<00:21, 13.0M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 44%|██▏ | 217M/498M [00:16<00:21, 13.2M Bytes/s]
Total: 70%|██████████████████▏ | 27.6G/39.4G [35:00<14:58, 13.2M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 44%|██▏ | 220M/498M [00:16<00:21, 13.2M Bytes/s]
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Get sub-03/s .. _bold.nii.gz: 46%|██▎ | 231M/498M [00:17<00:20, 13.2M Bytes/s]
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Get sub-03/s .. _bold.nii.gz: 48%|██▍ | 238M/498M [00:18<00:19, 13.4M Bytes/s]
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Get sub-03/s .. _bold.nii.gz: 56%|██▊ | 279M/498M [00:21<00:16, 13.2M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 57%|██▊ | 282M/498M [00:21<00:16, 13.5M Bytes/s]
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Get sub-03/s .. _bold.nii.gz: 96%|████▊| 479M/498M [00:36<00:01, 14.2M Bytes/s]
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Get sub-03/s .. _bold.nii.gz: 100%|████▉| 497M/498M [00:37<00:00, 14.0M Bytes/s]
Total: 71%|██████████████████▌ | 28.1G/39.4G [35:22<14:14, 13.2M Bytes/s]
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Get sub-04/s .. _bold.nii.gz: 1%| | 2.69M/515M [00:00<00:38, 13.5M Bytes/s]
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Get sub-04/s .. _bold.nii.gz: 16%|▋ | 81.2M/515M [00:06<00:31, 13.7M Bytes/s]
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Get sub-04/s .. _bold.nii.gz: 17%|▋ | 85.1M/515M [00:06<00:32, 13.2M Bytes/s]
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Total: 71%|██████████████████▌ | 28.1G/39.4G [35:40<14:21, 13.1M Bytes/s]
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Get sub-04/s .. _bold.nii.gz: 99%|████▉| 509M/515M [00:37<00:00, 13.7M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 99%|████▉| 511M/515M [00:37<00:00, 14.0M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 99%|████▉| 512M/515M [00:37<00:00, 13.6M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 100%|████▉| 515M/515M [00:37<00:00, 13.8M Bytes/s]
Total: 73%|██████████████████▉ | 28.6G/39.4G [36:03<13:36, 13.2M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 0%| | 0.00/498M [00:00<?, ? Bytes/s]
Get sub-03/s .. _bold.nii.gz: 1%| | 2.70M/498M [00:00<00:34, 14.2M Bytes/s]
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Get sub-03/s .. _bold.nii.gz: 19%|▊ | 96.2M/498M [00:07<00:31, 12.8M Bytes/s]
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Get sub-03/s .. _bold.nii.gz: 33%|█▋ | 163M/498M [00:12<00:23, 14.1M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 33%|█▋ | 166M/498M [00:12<00:24, 13.7M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 34%|█▋ | 167M/498M [00:12<00:23, 13.9M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 34%|█▋ | 169M/498M [00:12<00:23, 14.1M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 34%|█▋ | 172M/498M [00:13<00:23, 13.9M Bytes/s]
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Get sub-03/s .. _bold.nii.gz: 36%|█▊ | 179M/498M [00:13<00:22, 14.0M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 36%|█▊ | 181M/498M [00:13<00:22, 14.1M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 37%|█▊ | 183M/498M [00:13<00:22, 14.1M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 37%|█▊ | 186M/498M [00:14<00:21, 14.2M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 38%|█▉ | 188M/498M [00:14<00:21, 14.3M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 38%|█▉ | 190M/498M [00:14<00:20, 14.7M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 39%|█▉ | 193M/498M [00:14<00:20, 14.7M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 39%|█▉ | 196M/498M [00:14<00:20, 14.5M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 40%|█▉ | 198M/498M [00:14<00:19, 15.1M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 40%|██ | 201M/498M [00:15<00:21, 13.9M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 41%|██ | 203M/498M [00:15<00:20, 14.3M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 41%|██ | 206M/498M [00:15<00:20, 14.6M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 42%|██ | 209M/498M [00:15<00:19, 14.6M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 42%|██ | 210M/498M [00:15<00:19, 14.7M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 43%|██▏ | 213M/498M [00:15<00:19, 14.4M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 43%|██▏ | 214M/498M [00:16<00:19, 14.5M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 44%|██▏ | 217M/498M [00:16<00:19, 14.3M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 44%|██▏ | 220M/498M [00:16<00:19, 14.3M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 45%|██▏ | 222M/498M [00:16<00:19, 14.5M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 45%|██▏ | 223M/498M [00:16<00:18, 14.5M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 45%|██▎ | 225M/498M [00:16<00:19, 14.1M Bytes/s]
Total: 73%|██████████████████▉ | 28.6G/39.4G [36:20<13:42, 13.1M Bytes/s]
Get sub-03/s .. _bold.nii.gz: 46%|██▎ | 227M/498M [00:16<00:18, 14.4M Bytes/s]
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Get sub-03/s .. _bold.nii.gz: 58%|██▉ | 290M/498M [00:21<00:14, 14.3M Bytes/s]
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Total: 74%|███████████████████▏ | 29.1G/39.4G [36:41<12:58, 13.2M Bytes/s]
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Get sub-06/s .. _bold.nii.gz: 48%|██▍ | 239M/497M [00:17<00:18, 14.0M Bytes/s]
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Get sub-06/s .. _bold.nii.gz: 49%|██▍ | 244M/497M [00:17<00:18, 13.9M Bytes/s]
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Get sub-06/s .. _bold.nii.gz: 50%|██▌ | 249M/497M [00:18<00:17, 14.0M Bytes/s]
Total: 74%|███████████████████▏ | 29.1G/39.4G [37:00<13:05, 13.1M Bytes/s]
Get sub-06/s .. _bold.nii.gz: 50%|██▌ | 251M/497M [00:18<00:17, 14.0M Bytes/s]
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Get sub-06/s .. _bold.nii.gz: 90%|████▌| 448M/497M [00:32<00:02, 16.7M Bytes/s]
Get sub-06/s .. _bold.nii.gz: 91%|████▌| 452M/497M [00:32<00:02, 16.7M Bytes/s]
Get sub-06/s .. _bold.nii.gz: 91%|████▌| 454M/497M [00:32<00:02, 15.7M Bytes/s]
Get sub-06/s .. _bold.nii.gz: 92%|████▌| 457M/497M [00:33<00:02, 16.7M Bytes/s]
Get sub-06/s .. _bold.nii.gz: 93%|████▋| 460M/497M [00:33<00:02, 15.9M Bytes/s]
Get sub-06/s .. _bold.nii.gz: 93%|████▋| 462M/497M [00:33<00:02, 16.9M Bytes/s]
Get sub-06/s .. _bold.nii.gz: 94%|████▋| 465M/497M [00:33<00:01, 16.7M Bytes/s]
Get sub-06/s .. _bold.nii.gz: 94%|████▋| 469M/497M [00:33<00:01, 16.7M Bytes/s]
Get sub-06/s .. _bold.nii.gz: 95%|████▋| 471M/497M [00:33<00:01, 17.1M Bytes/s]
Get sub-06/s .. _bold.nii.gz: 95%|████▊| 473M/497M [00:33<00:01, 17.2M Bytes/s]
Get sub-06/s .. _bold.nii.gz: 96%|████▊| 476M/497M [00:34<00:01, 17.5M Bytes/s]
Get sub-06/s .. _bold.nii.gz: 96%|████▊| 478M/497M [00:34<00:01, 17.1M Bytes/s]
Get sub-06/s .. _bold.nii.gz: 97%|████▊| 481M/497M [00:34<00:00, 17.1M Bytes/s]
Get sub-06/s .. _bold.nii.gz: 97%|████▊| 484M/497M [00:34<00:00, 18.0M Bytes/s]
Get sub-06/s .. _bold.nii.gz: 98%|████▉| 487M/497M [00:34<00:00, 17.2M Bytes/s]
Get sub-06/s .. _bold.nii.gz: 99%|████▉| 490M/497M [00:34<00:00, 17.1M Bytes/s]
Get sub-06/s .. _bold.nii.gz: 99%|████▉| 493M/497M [00:35<00:00, 16.2M Bytes/s]
Get sub-06/s .. _bold.nii.gz: 100%|████▉| 495M/497M [00:35<00:00, 15.9M Bytes/s]
Total: 75%|███████████████████▌ | 29.6G/39.4G [37:18<12:21, 13.2M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 0%| | 0.00/469M [00:00<?, ? Bytes/s]
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Get sub-02/s .. _bold.nii.gz: 1%| | 2.36M/469M [00:04<12:08, 640k Bytes/s]
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Get sub-02/s .. _bold.nii.gz: 1%| | 4.19M/469M [00:07<11:10, 692k Bytes/s]
Get sub-02/s .. _bold.nii.gz: 1%| | 4.31M/469M [00:07<10:53, 710k Bytes/s]
Get sub-02/s .. _bold.nii.gz: 1%| | 4.44M/469M [00:07<10:40, 724k Bytes/s]
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Get sub-02/s .. _bold.nii.gz: 1%| | 4.65M/469M [00:07<10:04, 767k Bytes/s]
Get sub-02/s .. _bold.nii.gz: 1%| | 4.75M/469M [00:07<09:21, 826k Bytes/s]
Get sub-02/s .. _bold.nii.gz: 1%| | 4.92M/469M [00:08<10:32, 733k Bytes/s]
Get sub-02/s .. _bold.nii.gz: 1%| | 5.05M/469M [00:08<09:44, 794k Bytes/s]
Get sub-02/s .. _bold.nii.gz: 1%| | 5.17M/469M [00:08<09:20, 827k Bytes/s]
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Get sub-02/s .. _bold.nii.gz: 1%| | 5.46M/469M [00:08<08:53, 868k Bytes/s]
Get sub-02/s .. _bold.nii.gz: 1%| | 5.57M/469M [00:08<08:37, 895k Bytes/s]
Get sub-02/s .. _bold.nii.gz: 1%| | 5.76M/469M [00:08<08:39, 891k Bytes/s]
Get sub-02/s .. _bold.nii.gz: 1%| | 5.88M/469M [00:09<08:09, 946k Bytes/s]
Get sub-02/s .. _bold.nii.gz: 1%| | 6.11M/469M [00:09<08:40, 889k Bytes/s]
Get sub-02/s .. _bold.nii.gz: 1%| | 6.28M/469M [00:09<08:10, 942k Bytes/s]
Get sub-02/s .. _bold.nii.gz: 1%| | 6.46M/469M [00:09<07:42, 1.00M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 1%| | 6.63M/469M [00:09<06:50, 1.13M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 1%| | 6.77M/469M [00:09<06:30, 1.18M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 1%| | 7.01M/469M [00:10<06:35, 1.17M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 2%| | 7.17M/469M [00:10<06:16, 1.23M Bytes/s]
Total: 75%|███████████████████▌ | 29.6G/39.4G [37:30<12:24, 13.2M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 2%| | 7.45M/469M [00:10<06:09, 1.25M Bytes/s]
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Total: 76%|███████████████████▊ | 30.1G/39.4G [38:08<11:50, 13.1M Bytes/s]
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Get sub-04/s .. _bold.nii.gz: 16%|▋ | 82.5M/515M [00:06<00:31, 13.7M Bytes/s]
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Get sub-04/s .. _bold.nii.gz: 28%|█▍ | 146M/515M [00:10<00:26, 13.9M Bytes/s]
Total: 76%|███████████████████▊ | 30.1G/39.4G [38:20<11:53, 13.1M Bytes/s]
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Total: 78%|████████████████████▏ | 30.6G/39.4G [38:46<11:10, 13.2M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 0%| | 0.00/239M [00:00<?, ? Bytes/s]
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Get sub-02/s .. _bold.nii.gz: 25%|█ | 60.6M/239M [00:04<00:14, 12.7M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 26%|█ | 63.1M/239M [00:04<00:13, 12.8M Bytes/s]
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Get sub-02/s .. _bold.nii.gz: 41%|█▋ | 98.7M/239M [00:07<00:10, 13.0M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 42%|██ | 101M/239M [00:07<00:10, 12.6M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 43%|██▏ | 104M/239M [00:08<00:10, 12.9M Bytes/s]
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Get sub-02/s .. _bold.nii.gz: 48%|██▍ | 116M/239M [00:09<00:10, 12.3M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 49%|██▍ | 117M/239M [00:09<00:09, 12.7M Bytes/s]
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Get sub-02/s .. _bold.nii.gz: 52%|██▌ | 124M/239M [00:09<00:08, 13.2M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 52%|██▌ | 126M/239M [00:09<00:08, 13.3M Bytes/s]
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Get sub-02/s .. _bold.nii.gz: 58%|██▉ | 138M/239M [00:10<00:07, 14.0M Bytes/s]
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Get sub-02/s .. _bold.nii.gz: 61%|███ | 147M/239M [00:11<00:06, 14.3M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 62%|███ | 148M/239M [00:11<00:06, 14.0M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 63%|███▏ | 151M/239M [00:11<00:06, 14.1M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 64%|███▏ | 153M/239M [00:11<00:06, 14.3M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 64%|███▏ | 154M/239M [00:11<00:05, 14.3M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 66%|███▎ | 157M/239M [00:11<00:05, 14.3M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 66%|███▎ | 158M/239M [00:12<00:05, 14.3M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 67%|███▎ | 160M/239M [00:12<00:05, 14.6M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 68%|███▍ | 163M/239M [00:12<00:05, 14.6M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 69%|███▍ | 166M/239M [00:12<00:05, 14.1M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 70%|███▍ | 167M/239M [00:12<00:04, 14.9M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 71%|███▌ | 170M/239M [00:12<00:04, 14.3M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 72%|███▌ | 173M/239M [00:13<00:04, 14.8M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 73%|███▋ | 175M/239M [00:13<00:04, 14.7M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 74%|███▋ | 177M/239M [00:13<00:04, 15.6M Bytes/s]
Total: 78%|████████████████████▏ | 30.6G/39.4G [39:00<11:14, 13.1M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 75%|███▊ | 180M/239M [00:13<00:04, 14.7M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 76%|███▊ | 182M/239M [00:13<00:03, 16.0M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 77%|███▊ | 185M/239M [00:13<00:03, 14.5M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 78%|███▉ | 187M/239M [00:13<00:03, 14.5M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 79%|███▉ | 190M/239M [00:14<00:03, 14.5M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 81%|████ | 193M/239M [00:14<00:03, 14.5M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 81%|████ | 194M/239M [00:14<00:03, 14.5M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 82%|████ | 196M/239M [00:14<00:02, 14.6M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 83%|████▏| 198M/239M [00:14<00:02, 14.5M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 84%|████▏| 200M/239M [00:14<00:02, 14.3M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 85%|████▏| 203M/239M [00:15<00:02, 14.0M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 85%|████▎| 204M/239M [00:15<00:02, 14.1M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 86%|████▎| 207M/239M [00:15<00:02, 13.8M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 87%|████▎| 208M/239M [00:15<00:02, 13.9M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 88%|████▍| 210M/239M [00:15<00:02, 14.2M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 88%|████▍| 211M/239M [00:15<00:01, 14.2M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 90%|████▍| 214M/239M [00:15<00:01, 14.5M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 90%|████▌| 216M/239M [00:15<00:01, 14.6M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 91%|████▌| 219M/239M [00:16<00:01, 14.4M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 92%|████▌| 220M/239M [00:16<00:01, 14.6M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 93%|████▋| 222M/239M [00:16<00:01, 14.9M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 94%|████▋| 225M/239M [00:16<00:00, 14.9M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 95%|████▋| 227M/239M [00:16<00:00, 14.7M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 96%|████▊| 229M/239M [00:16<00:00, 14.7M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 96%|████▊| 231M/239M [00:16<00:00, 14.7M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 98%|████▉| 234M/239M [00:17<00:00, 14.6M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 98%|████▉| 235M/239M [00:17<00:00, 14.6M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 99%|████▉| 237M/239M [00:17<00:00, 14.7M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 99%|████▉| 238M/239M [00:17<00:00, 14.7M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 0%| | 0.00/239M [00:00<?, ? Bytes/s]
Total: 78%|████████████████████▎ | 30.9G/39.4G [39:05<10:52, 13.2M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 0%| | 0.00/514M [00:00<?, ? Bytes/s]
Get sub-04/s .. _bold.nii.gz: 0%| | 1.64M/514M [00:00<00:37, 13.7M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 1%| | 4.29M/514M [00:00<00:35, 14.4M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 1%| | 6.67M/514M [00:00<00:38, 13.1M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 2%| | 8.28M/514M [00:00<00:38, 13.1M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 2%| | 10.6M/514M [00:00<00:38, 13.0M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 2%| | 12.0M/514M [00:00<00:37, 13.3M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 3%| | 14.6M/514M [00:01<00:38, 13.1M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 3%|▏ | 17.2M/514M [00:01<00:38, 13.0M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 4%|▏ | 18.5M/514M [00:01<00:37, 13.1M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 4%|▏ | 21.0M/514M [00:01<00:38, 12.8M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 4%|▏ | 22.5M/514M [00:01<00:37, 13.2M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 5%|▏ | 25.1M/514M [00:01<00:37, 13.1M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 5%|▏ | 27.5M/514M [00:02<00:38, 12.7M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 6%|▏ | 28.9M/514M [00:02<00:37, 13.0M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 6%|▏ | 30.3M/514M [00:02<00:36, 13.3M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 6%|▎ | 33.0M/514M [00:02<00:36, 13.3M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 7%|▎ | 34.5M/514M [00:02<00:35, 13.6M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 7%|▎ | 35.9M/514M [00:02<00:34, 13.7M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 8%|▎ | 38.6M/514M [00:02<00:34, 13.6M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 8%|▎ | 41.5M/514M [00:03<00:34, 13.8M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 8%|▎ | 42.9M/514M [00:03<00:33, 13.9M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 9%|▎ | 44.3M/514M [00:03<00:33, 13.9M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 9%|▎ | 45.8M/514M [00:03<00:33, 14.1M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 9%|▎ | 47.4M/514M [00:03<00:32, 14.6M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 10%|▍ | 49.0M/514M [00:03<00:32, 14.3M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 10%|▍ | 51.9M/514M [00:03<00:31, 14.9M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 11%|▍ | 54.5M/514M [00:04<00:32, 14.2M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 11%|▍ | 56.4M/514M [00:04<00:30, 15.2M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 12%|▍ | 59.3M/514M [00:04<00:31, 14.4M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 12%|▍ | 62.0M/514M [00:04<00:32, 14.1M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 13%|▌ | 64.9M/514M [00:04<00:31, 14.1M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 13%|▌ | 66.3M/514M [00:04<00:31, 14.2M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 13%|▌ | 69.2M/514M [00:05<00:31, 14.1M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 14%|▌ | 71.9M/514M [00:05<00:31, 13.9M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 15%|▌ | 74.6M/514M [00:05<00:31, 13.8M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 15%|▌ | 76.0M/514M [00:05<00:31, 13.9M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 15%|▌ | 77.4M/514M [00:05<00:31, 13.9M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 15%|▌ | 78.9M/514M [00:05<00:31, 14.0M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 16%|▌ | 80.3M/514M [00:05<00:30, 14.1M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 16%|▋ | 81.8M/514M [00:05<00:30, 14.2M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 16%|▋ | 83.3M/514M [00:06<00:30, 14.3M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 16%|▋ | 84.7M/514M [00:06<00:29, 14.4M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 17%|▋ | 86.2M/514M [00:06<00:29, 14.4M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 17%|▋ | 87.6M/514M [00:06<00:29, 14.4M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 17%|▋ | 89.2M/514M [00:06<00:28, 14.7M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 18%|▋ | 90.9M/514M [00:06<00:27, 15.3M Bytes/s]
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Total: 78%|████████████████████▎ | 30.9G/39.4G [39:20<10:56, 13.1M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 40%|█▉ | 206M/514M [00:14<00:20, 14.8M Bytes/s]
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Get sub-04/s .. _bold.nii.gz: 95%|████▋| 486M/514M [00:32<00:01, 17.4M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 95%|████▊| 490M/514M [00:32<00:01, 17.0M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 96%|████▊| 492M/514M [00:32<00:01, 18.0M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 96%|████▊| 495M/514M [00:33<00:01, 16.9M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 97%|████▊| 499M/514M [00:33<00:00, 17.5M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 97%|████▊| 501M/514M [00:33<00:00, 17.7M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 98%|████▉| 503M/514M [00:33<00:00, 18.2M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 98%|████▉| 506M/514M [00:33<00:00, 18.3M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 99%|████▉| 509M/514M [00:33<00:00, 18.1M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 100%|████▉| 512M/514M [00:34<00:00, 17.3M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 0%| | 0.00/514M [00:00<?, ? Bytes/s]
Total: 80%|████████████████████▋ | 31.4G/39.4G [39:41<10:12, 13.2M Bytes/s]
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Get sub-07/s .. _bold.nii.gz: 31%|█▌ | 162M/519M [00:12<00:30, 11.7M Bytes/s]
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Get sub-07/s .. _bold.nii.gz: 38%|█▉ | 197M/519M [00:15<00:23, 13.4M Bytes/s]
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Get sub-07/s .. _bold.nii.gz: 39%|█▉ | 203M/519M [00:15<00:25, 12.3M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 40%|█▉ | 206M/519M [00:16<00:24, 12.8M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 40%|██ | 208M/519M [00:16<00:25, 12.2M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 40%|██ | 210M/519M [00:16<00:23, 12.9M Bytes/s]
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Get sub-07/s .. _bold.nii.gz: 41%|██ | 214M/519M [00:16<00:25, 12.2M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 41%|██ | 215M/519M [00:16<00:23, 12.7M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 42%|██ | 217M/519M [00:16<00:23, 13.1M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 42%|██ | 219M/519M [00:17<00:23, 12.9M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 43%|██▏ | 221M/519M [00:17<00:22, 13.1M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 43%|██▏ | 224M/519M [00:17<00:22, 13.0M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 44%|██▏ | 226M/519M [00:17<00:23, 12.7M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 44%|██▏ | 228M/519M [00:17<00:21, 13.4M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 44%|██▏ | 231M/519M [00:18<00:22, 12.9M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 45%|██▏ | 233M/519M [00:18<00:21, 13.3M Bytes/s]
Total: 80%|████████████████████▋ | 31.4G/39.4G [40:00<10:17, 13.1M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 45%|██▎ | 235M/519M [00:18<00:21, 13.0M Bytes/s]
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Get sub-07/s .. _bold.nii.gz: 100%|████▉| 518M/519M [00:39<00:00, 13.4M Bytes/s]
Total: 81%|█████████████████████ | 31.9G/39.4G [40:23<09:34, 13.2M Bytes/s]
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Get sub-08/s .. _bold.nii.gz: 39%|█▉ | 194M/503M [00:15<00:23, 13.2M Bytes/s]
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Get sub-08/s .. _bold.nii.gz: 40%|██ | 203M/503M [00:15<00:23, 12.6M Bytes/s]
Total: 81%|█████████████████████ | 31.9G/39.4G [40:40<09:37, 13.1M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 41%|██ | 205M/503M [00:16<00:24, 12.4M Bytes/s]
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Get sub-08/s .. _bold.nii.gz: 75%|███▋ | 377M/503M [00:28<00:08, 15.1M Bytes/s]
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Get sub-08/s .. _bold.nii.gz: 82%|████ | 415M/503M [00:31<00:05, 16.4M Bytes/s]
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Get sub-08/s .. _bold.nii.gz: 84%|████▏| 421M/503M [00:31<00:05, 15.4M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 84%|████▏| 423M/503M [00:31<00:05, 15.2M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 85%|████▏| 425M/503M [00:31<00:05, 15.0M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 85%|████▎| 428M/503M [00:32<00:05, 14.8M Bytes/s]
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Get sub-08/s .. _bold.nii.gz: 93%|████▋| 469M/503M [00:35<00:02, 14.6M Bytes/s]
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Get sub-08/s .. _bold.nii.gz: 95%|████▋| 476M/503M [00:35<00:01, 14.3M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 95%|████▊| 479M/503M [00:35<00:01, 14.5M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 96%|████▊| 481M/503M [00:35<00:01, 14.7M Bytes/s]
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Get sub-08/s .. _bold.nii.gz: 96%|████▊| 486M/503M [00:36<00:01, 15.4M Bytes/s]
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Get sub-08/s .. _bold.nii.gz: 97%|████▊| 490M/503M [00:36<00:00, 14.7M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 98%|████▉| 491M/503M [00:36<00:00, 14.9M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 98%|████▉| 493M/503M [00:36<00:00, 14.9M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 98%|████▉| 494M/503M [00:36<00:00, 15.0M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 99%|████▉| 496M/503M [00:36<00:00, 14.9M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 99%|████▉| 499M/503M [00:37<00:00, 15.0M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 100%|████▉| 502M/503M [00:37<00:00, 14.9M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 0%| | 0.00/503M [00:00<?, ? Bytes/s]
Total: 82%|█████████████████████▎ | 32.4G/39.4G [41:03<08:56, 13.1M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 0%| | 0.00/516M [00:00<?, ? Bytes/s]
Get sub-04/s .. _bold.nii.gz: 0%| | 2.37M/516M [00:00<00:34, 14.9M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 1%| | 4.53M/516M [00:00<00:34, 14.9M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 1%| | 6.04M/516M [00:00<00:34, 14.9M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 2%| | 8.54M/516M [00:00<00:37, 13.7M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 2%| | 11.1M/516M [00:00<00:38, 13.2M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 2%| | 12.6M/516M [00:00<00:36, 13.7M Bytes/s]
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Get sub-04/s .. _bold.nii.gz: 44%|██▏ | 228M/516M [00:16<00:17, 16.5M Bytes/s]
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Get sub-04/s .. _bold.nii.gz: 45%|██▏ | 232M/516M [00:16<00:16, 17.6M Bytes/s]
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Total: 82%|█████████████████████▎ | 32.4G/39.4G [41:20<08:59, 13.1M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 46%|██▎ | 238M/516M [00:16<00:15, 17.8M Bytes/s]
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Get sub-04/s .. _bold.nii.gz: 66%|███▎ | 342M/516M [00:23<00:10, 17.2M Bytes/s]
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Get sub-04/s .. _bold.nii.gz: 93%|████▋| 480M/516M [00:31<00:02, 14.7M Bytes/s]
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Get sub-04/s .. _bold.nii.gz: 94%|████▋| 485M/516M [00:32<00:01, 16.1M Bytes/s]
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Total: 83%|█████████████████████▋ | 32.9G/39.4G [41:38<08:16, 13.2M Bytes/s]
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Get sub-01/s .. _bold.nii.gz: 25%|█▏ | 128M/513M [00:08<00:26, 14.3M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 25%|█▎ | 131M/513M [00:09<00:27, 13.8M Bytes/s]
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Get sub-01/s .. _bold.nii.gz: 26%|█▎ | 135M/513M [00:09<00:27, 13.7M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 27%|█▎ | 137M/513M [00:09<00:25, 14.7M Bytes/s]
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Get sub-01/s .. _bold.nii.gz: 28%|█▍ | 142M/513M [00:09<00:24, 15.1M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 28%|█▍ | 144M/513M [00:10<00:26, 13.9M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 29%|█▍ | 147M/513M [00:10<00:25, 14.2M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 29%|█▍ | 149M/513M [00:10<00:25, 14.3M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 30%|█▍ | 152M/513M [00:10<00:25, 14.3M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 30%|█▍ | 154M/513M [00:10<00:25, 14.1M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 30%|█▌ | 156M/513M [00:10<00:25, 14.0M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 31%|█▌ | 159M/513M [00:11<00:25, 13.7M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 31%|█▌ | 160M/513M [00:11<00:25, 13.8M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 31%|█▌ | 161M/513M [00:11<00:25, 13.9M Bytes/s]
Total: 83%|█████████████████████▋ | 32.9G/39.4G [41:50<08:18, 13.1M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 32%|█▌ | 164M/513M [00:11<00:25, 13.9M Bytes/s]
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Get sub-01/s .. _bold.nii.gz: 34%|█▋ | 176M/513M [00:12<00:23, 14.2M Bytes/s]
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Get sub-01/s .. _bold.nii.gz: 36%|█▊ | 184M/513M [00:12<00:23, 14.3M Bytes/s]
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Total: 85%|██████████████████████ | 33.4G/39.4G [42:15<07:36, 13.2M Bytes/s]
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Total: 85%|██████████████████████ | 33.4G/39.4G [42:30<07:39, 13.1M Bytes/s]
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Get sub-09/s .. _bold.nii.gz: 98%|████▉| 471M/480M [00:36<00:00, 13.4M Bytes/s]
Get sub-09/s .. _bold.nii.gz: 98%|████▉| 473M/480M [00:36<00:00, 13.4M Bytes/s]
Get sub-09/s .. _bold.nii.gz: 99%|████▉| 474M/480M [00:36<00:00, 13.8M Bytes/s]
Get sub-09/s .. _bold.nii.gz: 99%|████▉| 477M/480M [00:37<00:00, 13.0M Bytes/s]
Get sub-09/s .. _bold.nii.gz: 100%|████▉| 479M/480M [00:37<00:00, 14.2M Bytes/s]
Total: 86%|██████████████████████▎ | 33.9G/39.4G [42:54<07:00, 13.2M Bytes/s]
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Get sub-09/s .. _bold.nii.gz: 34%|█▋ | 164M/480M [00:12<00:23, 13.5M Bytes/s]
Get sub-09/s .. _bold.nii.gz: 35%|█▋ | 166M/480M [00:13<00:25, 12.3M Bytes/s]
Get sub-09/s .. _bold.nii.gz: 35%|█▊ | 169M/480M [00:13<00:24, 12.5M Bytes/s]
Get sub-09/s .. _bold.nii.gz: 35%|█▊ | 170M/480M [00:13<00:24, 12.9M Bytes/s]
Get sub-09/s .. _bold.nii.gz: 36%|█▊ | 172M/480M [00:13<00:23, 13.1M Bytes/s]
Get sub-09/s .. _bold.nii.gz: 36%|█▊ | 173M/480M [00:13<00:22, 13.5M Bytes/s]
Get sub-09/s .. _bold.nii.gz: 36%|█▊ | 175M/480M [00:13<00:22, 13.9M Bytes/s]
Get sub-09/s .. _bold.nii.gz: 37%|█▊ | 178M/480M [00:13<00:21, 13.9M Bytes/s]
Get sub-09/s .. _bold.nii.gz: 38%|█▉ | 180M/480M [00:14<00:21, 13.9M Bytes/s]
Get sub-09/s .. _bold.nii.gz: 38%|█▉ | 183M/480M [00:14<00:21, 13.9M Bytes/s]
Get sub-09/s .. _bold.nii.gz: 38%|█▉ | 185M/480M [00:14<00:21, 13.9M Bytes/s]
Get sub-09/s .. _bold.nii.gz: 39%|█▉ | 186M/480M [00:14<00:21, 14.0M Bytes/s]
Get sub-09/s .. _bold.nii.gz: 39%|█▉ | 188M/480M [00:14<00:20, 14.2M Bytes/s]
Get sub-09/s .. _bold.nii.gz: 40%|█▉ | 190M/480M [00:14<00:20, 14.3M Bytes/s]
Get sub-09/s .. _bold.nii.gz: 40%|██ | 193M/480M [00:15<00:20, 14.0M Bytes/s]
Get sub-09/s .. _bold.nii.gz: 41%|██ | 195M/480M [00:15<00:21, 13.5M Bytes/s]
Total: 86%|██████████████████████▎ | 33.9G/39.4G [43:10<07:03, 13.1M Bytes/s]
Get sub-09/s .. _bold.nii.gz: 41%|██ | 197M/480M [00:15<00:20, 13.9M Bytes/s]
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Total: 87%|██████████████████████▋ | 34.4G/39.4G [43:31<06:24, 13.2M Bytes/s]
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Get sub-06/s .. _bold.nii.gz: 49%|██▍ | 243M/497M [00:17<00:17, 14.7M Bytes/s]
Get sub-06/s .. _bold.nii.gz: 49%|██▍ | 245M/497M [00:17<00:17, 14.6M Bytes/s]
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Get sub-06/s .. _bold.nii.gz: 51%|██▌ | 252M/497M [00:17<00:17, 14.4M Bytes/s]
Total: 87%|██████████████████████▋ | 34.4G/39.4G [43:50<06:26, 13.1M Bytes/s]
Get sub-06/s .. _bold.nii.gz: 51%|██▌ | 254M/497M [00:18<00:17, 14.2M Bytes/s]
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Get sub-06/s .. _bold.nii.gz: 83%|████▏| 412M/497M [00:28<00:05, 16.9M Bytes/s]
Get sub-06/s .. _bold.nii.gz: 83%|████▏| 415M/497M [00:28<00:05, 15.9M Bytes/s]
Get sub-06/s .. _bold.nii.gz: 84%|████▏| 418M/497M [00:29<00:05, 15.5M Bytes/s]
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Get sub-06/s .. _bold.nii.gz: 88%|████▍| 435M/497M [00:30<00:03, 15.6M Bytes/s]
Get sub-06/s .. _bold.nii.gz: 88%|████▍| 437M/497M [00:30<00:03, 16.5M Bytes/s]
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Get sub-06/s .. _bold.nii.gz: 92%|████▌| 458M/497M [00:31<00:02, 14.4M Bytes/s]
Get sub-06/s .. _bold.nii.gz: 93%|████▋| 460M/497M [00:31<00:02, 14.3M Bytes/s]
Get sub-06/s .. _bold.nii.gz: 93%|████▋| 461M/497M [00:32<00:02, 14.3M Bytes/s]
Get sub-06/s .. _bold.nii.gz: 93%|████▋| 463M/497M [00:32<00:02, 14.4M Bytes/s]
Get sub-06/s .. _bold.nii.gz: 94%|████▋| 465M/497M [00:32<00:02, 14.3M Bytes/s]
Get sub-06/s .. _bold.nii.gz: 94%|████▋| 467M/497M [00:32<00:02, 14.3M Bytes/s]
Get sub-06/s .. _bold.nii.gz: 94%|████▋| 469M/497M [00:32<00:01, 14.5M Bytes/s]
Get sub-06/s .. _bold.nii.gz: 95%|████▋| 470M/497M [00:32<00:01, 14.6M Bytes/s]
Get sub-06/s .. _bold.nii.gz: 95%|████▋| 472M/497M [00:32<00:01, 14.9M Bytes/s]
Get sub-06/s .. _bold.nii.gz: 95%|████▊| 473M/497M [00:32<00:01, 15.5M Bytes/s]
Get sub-06/s .. _bold.nii.gz: 96%|████▊| 475M/497M [00:32<00:01, 16.1M Bytes/s]
Get sub-06/s .. _bold.nii.gz: 96%|████▊| 478M/497M [00:33<00:01, 15.4M Bytes/s]
Get sub-06/s .. _bold.nii.gz: 97%|████▊| 480M/497M [00:33<00:01, 14.9M Bytes/s]
Get sub-06/s .. _bold.nii.gz: 97%|████▊| 482M/497M [00:33<00:00, 14.5M Bytes/s]
Get sub-06/s .. _bold.nii.gz: 98%|████▉| 485M/497M [00:33<00:00, 14.5M Bytes/s]
Get sub-06/s .. _bold.nii.gz: 98%|████▉| 487M/497M [00:33<00:00, 14.5M Bytes/s]
Get sub-06/s .. _bold.nii.gz: 99%|████▉| 490M/497M [00:33<00:00, 14.4M Bytes/s]
Get sub-06/s .. _bold.nii.gz: 99%|████▉| 492M/497M [00:34<00:00, 14.4M Bytes/s]
Get sub-06/s .. _bold.nii.gz: 100%|████▉| 494M/497M [00:34<00:00, 14.4M Bytes/s]
Total: 88%|██████████████████████▉ | 34.9G/39.4G [44:08<05:46, 13.2M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 0%| | 0.00/504M [00:00<?, ? Bytes/s]
Get sub-08/s .. _bold.nii.gz: 1%| | 3.01M/504M [00:00<00:33, 15.1M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 1%| | 4.57M/504M [00:00<00:32, 15.3M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 1%| | 6.88M/504M [00:00<00:37, 13.2M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 2%| | 8.48M/504M [00:00<00:35, 14.0M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 2%| | 9.99M/504M [00:00<00:36, 13.4M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 2%| | 12.4M/504M [00:00<00:36, 13.4M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 3%| | 14.8M/504M [00:01<00:39, 12.5M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 3%|▏ | 16.6M/504M [00:01<00:36, 13.5M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 4%|▏ | 18.9M/504M [00:01<00:39, 12.4M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 4%|▏ | 21.7M/504M [00:01<00:37, 12.8M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 5%|▏ | 23.0M/504M [00:01<00:38, 12.5M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 5%|▏ | 24.7M/504M [00:01<00:35, 13.4M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 5%|▏ | 27.1M/504M [00:02<00:38, 12.4M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 6%|▏ | 28.8M/504M [00:02<00:35, 13.3M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 6%|▏ | 31.3M/504M [00:02<00:38, 12.3M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 7%|▎ | 33.0M/504M [00:02<00:35, 13.4M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 7%|▎ | 35.3M/504M [00:02<00:37, 12.3M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 7%|▎ | 36.7M/504M [00:02<00:36, 12.7M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 8%|▎ | 39.4M/504M [00:03<00:35, 12.9M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 8%|▎ | 41.8M/504M [00:03<00:36, 12.5M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 9%|▎ | 43.2M/504M [00:03<00:36, 12.8M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 9%|▎ | 45.6M/504M [00:03<00:36, 12.6M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 10%|▍ | 48.2M/504M [00:03<00:35, 12.7M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 10%|▍ | 49.7M/504M [00:03<00:34, 13.1M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 10%|▍ | 52.0M/504M [00:04<00:36, 12.5M Bytes/s]
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Get sub-08/s .. _bold.nii.gz: 11%|▍ | 55.9M/504M [00:04<00:35, 12.6M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 12%|▍ | 58.6M/504M [00:04<00:34, 12.8M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 12%|▍ | 61.1M/504M [00:04<00:34, 12.8M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 12%|▍ | 62.4M/504M [00:04<00:34, 12.7M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 13%|▌ | 63.8M/504M [00:04<00:33, 13.1M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 13%|▌ | 66.2M/504M [00:05<00:34, 12.6M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 14%|▌ | 68.8M/504M [00:05<00:34, 12.6M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 14%|▌ | 70.1M/504M [00:05<00:34, 12.7M Bytes/s]
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Get sub-08/s .. _bold.nii.gz: 29%|█▍ | 146M/504M [00:11<00:28, 12.4M Bytes/s]
Total: 88%|██████████████████████▉ | 34.9G/39.4G [44:20<05:47, 13.1M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 29%|█▍ | 147M/504M [00:11<00:28, 12.7M Bytes/s]
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Get sub-08/s .. _bold.nii.gz: 94%|████▋| 475M/504M [00:35<00:01, 17.9M Bytes/s]
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Get sub-08/s .. _bold.nii.gz: 96%|████▊| 484M/504M [00:35<00:01, 18.0M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 97%|████▊| 486M/504M [00:35<00:00, 17.6M Bytes/s]
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Get sub-08/s .. _bold.nii.gz: 98%|████▉| 493M/504M [00:36<00:00, 17.9M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 98%|████▉| 494M/504M [00:36<00:00, 17.8M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 99%|████▉| 496M/504M [00:36<00:00, 17.9M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 99%|████▉| 498M/504M [00:36<00:00, 17.9M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 99%|████▉| 500M/504M [00:36<00:00, 18.2M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 100%|████▉| 503M/504M [00:36<00:00, 16.1M Bytes/s]
Total: 90%|███████████████████████▎ | 35.4G/39.4G [44:47<05:08, 13.2M Bytes/s]
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Get sub-08/s .. _bold.nii.gz: 27%|█▎ | 134M/505M [00:09<00:26, 13.9M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 27%|█▎ | 137M/505M [00:09<00:26, 13.8M Bytes/s]
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Get sub-08/s .. _bold.nii.gz: 28%|█▍ | 142M/505M [00:10<00:26, 13.8M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 29%|█▍ | 144M/505M [00:10<00:25, 14.0M Bytes/s]
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Get sub-08/s .. _bold.nii.gz: 31%|█▌ | 158M/505M [00:11<00:24, 14.1M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 32%|█▌ | 161M/505M [00:11<00:24, 14.0M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 32%|█▌ | 163M/505M [00:11<00:24, 13.8M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 33%|█▋ | 165M/505M [00:11<00:25, 13.4M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 33%|█▋ | 167M/505M [00:12<00:25, 13.0M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 33%|█▋ | 169M/505M [00:12<00:25, 13.2M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 34%|█▋ | 170M/505M [00:12<00:24, 13.6M Bytes/s]
Total: 90%|███████████████████████▎ | 35.4G/39.4G [45:00<05:09, 13.1M Bytes/s]
Get sub-08/s .. _bold.nii.gz: 34%|█▋ | 173M/505M [00:12<00:24, 13.5M Bytes/s]
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Get sub-08/s .. _bold.nii.gz: 0%| | 0.00/505M [00:00<?, ? Bytes/s]
Total: 91%|███████████████████████▋ | 35.9G/39.4G [45:24<04:29, 13.2M Bytes/s]
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Get sub-07/s .. _bold.nii.gz: 0%| | 2.35M/517M [00:00<00:43, 11.8M Bytes/s]
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Total: 91%|███████████████████████▋ | 35.9G/39.4G [45:40<04:31, 13.1M Bytes/s]
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Get sub-07/s .. _bold.nii.gz: 95%|████▊| 493M/517M [00:36<00:01, 13.7M Bytes/s]
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Get sub-07/s .. _bold.nii.gz: 97%|████▊| 500M/517M [00:36<00:01, 13.3M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 97%|████▊| 502M/517M [00:37<00:01, 13.7M Bytes/s]
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Get sub-07/s .. _bold.nii.gz: 98%|████▉| 505M/517M [00:37<00:00, 14.6M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 98%|████▉| 507M/517M [00:37<00:00, 15.6M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 98%|████▉| 508M/517M [00:37<00:00, 16.3M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 99%|████▉| 510M/517M [00:37<00:00, 17.0M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 99%|████▉| 512M/517M [00:37<00:00, 17.5M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 99%|████▉| 514M/517M [00:37<00:00, 18.0M Bytes/s]
Total: 92%|███████████████████████▉ | 36.4G/39.4G [46:04<03:50, 13.2M Bytes/s]
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Get sub-01/s .. _bold.nii.gz: 27%|█▎ | 138M/510M [00:10<00:27, 13.4M Bytes/s]
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Get sub-01/s .. _bold.nii.gz: 32%|█▌ | 164M/510M [00:12<00:24, 13.9M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 33%|█▋ | 166M/510M [00:12<00:26, 12.8M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 33%|█▋ | 168M/510M [00:12<00:24, 14.0M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 33%|█▋ | 170M/510M [00:12<00:26, 12.8M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 34%|█▋ | 172M/510M [00:12<00:24, 14.0M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 34%|█▋ | 175M/510M [00:13<00:25, 12.9M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 35%|█▋ | 176M/510M [00:13<00:24, 13.8M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 35%|█▊ | 179M/510M [00:13<00:25, 12.9M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 35%|█▊ | 181M/510M [00:13<00:23, 13.9M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 36%|█▊ | 183M/510M [00:13<00:25, 12.9M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 36%|█▊ | 185M/510M [00:13<00:23, 13.9M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 37%|█▊ | 188M/510M [00:13<00:24, 12.9M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 37%|█▊ | 189M/510M [00:14<00:23, 13.7M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 38%|█▉ | 192M/510M [00:14<00:24, 13.1M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 38%|█▉ | 194M/510M [00:14<00:23, 13.7M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 38%|█▉ | 196M/510M [00:14<00:24, 13.1M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 39%|█▉ | 199M/510M [00:14<00:23, 13.3M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 39%|█▉ | 200M/510M [00:14<00:23, 13.1M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 40%|█▉ | 202M/510M [00:15<00:22, 13.9M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 40%|██ | 204M/510M [00:15<00:21, 14.0M Bytes/s]
Total: 92%|███████████████████████▉ | 36.4G/39.4G [46:20<03:51, 13.1M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 41%|██ | 207M/510M [00:15<00:22, 13.7M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 41%|██ | 209M/510M [00:15<00:23, 12.8M Bytes/s]
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Get sub-01/s .. _bold.nii.gz: 43%|██▏ | 219M/510M [00:16<00:21, 13.7M Bytes/s]
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Total: 94%|████████████████████████▎ | 36.9G/39.4G [46:41<03:11, 13.2M Bytes/s]
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Get sub-01/s .. _bold.nii.gz: 49%|██▍ | 249M/512M [00:15<00:18, 14.3M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 49%|██▍ | 250M/512M [00:15<00:18, 14.4M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 49%|██▍ | 252M/512M [00:16<00:17, 14.5M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 49%|██▍ | 253M/512M [00:16<00:17, 14.6M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 50%|██▍ | 255M/512M [00:16<00:17, 14.7M Bytes/s]
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Get sub-01/s .. _bold.nii.gz: 51%|██▌ | 262M/512M [00:16<00:15, 16.3M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 52%|██▌ | 265M/512M [00:16<00:14, 17.4M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 52%|██▌ | 268M/512M [00:17<00:14, 16.4M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 53%|██▋ | 271M/512M [00:17<00:15, 15.7M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 53%|██▋ | 273M/512M [00:17<00:15, 15.4M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 54%|██▋ | 276M/512M [00:17<00:15, 15.2M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 54%|██▋ | 278M/512M [00:17<00:16, 14.6M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 55%|██▋ | 280M/512M [00:17<00:16, 14.2M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 55%|██▊ | 282M/512M [00:18<00:16, 14.0M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 55%|██▊ | 284M/512M [00:18<00:16, 13.6M Bytes/s]
Total: 94%|████████████████████████▎ | 36.9G/39.4G [47:00<03:13, 13.1M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 56%|██▊ | 286M/512M [00:18<00:16, 13.7M Bytes/s]
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Get sub-01/s .. _bold.nii.gz: 58%|██▉ | 298M/512M [00:19<00:14, 14.6M Bytes/s]
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Get sub-01/s .. _bold.nii.gz: 59%|██▉ | 301M/512M [00:19<00:13, 16.1M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 60%|██▉ | 305M/512M [00:19<00:11, 17.7M Bytes/s]
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Get sub-01/s .. _bold.nii.gz: 74%|███▋ | 380M/512M [00:24<00:07, 17.5M Bytes/s]
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Get sub-01/s .. _bold.nii.gz: 80%|████ | 412M/512M [00:25<00:05, 17.5M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 81%|████ | 415M/512M [00:26<00:05, 18.7M Bytes/s]
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Get sub-01/s .. _bold.nii.gz: 82%|████ | 421M/512M [00:26<00:05, 16.3M Bytes/s]
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Get sub-01/s .. _bold.nii.gz: 83%|████▏| 426M/512M [00:26<00:05, 15.0M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 84%|████▏| 429M/512M [00:27<00:05, 15.0M Bytes/s]
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Get sub-01/s .. _bold.nii.gz: 85%|████▏| 434M/512M [00:27<00:05, 14.7M Bytes/s]
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Get sub-01/s .. _bold.nii.gz: 87%|████▎| 445M/512M [00:28<00:03, 17.4M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 88%|████▍| 449M/512M [00:28<00:03, 17.7M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 88%|████▍| 451M/512M [00:28<00:03, 17.5M Bytes/s]
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Get sub-01/s .. _bold.nii.gz: 89%|████▍| 455M/512M [00:28<00:03, 18.4M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 89%|████▍| 458M/512M [00:28<00:02, 18.2M Bytes/s]
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Get sub-01/s .. _bold.nii.gz: 91%|████▌| 465M/512M [00:29<00:02, 16.3M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 91%|████▌| 468M/512M [00:29<00:02, 15.5M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 92%|████▌| 470M/512M [00:29<00:02, 15.1M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 92%|████▌| 473M/512M [00:29<00:02, 15.0M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 93%|████▋| 475M/512M [00:29<00:02, 14.8M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 93%|████▋| 478M/512M [00:30<00:02, 14.7M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 94%|████▋| 479M/512M [00:30<00:02, 14.8M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 94%|████▋| 483M/512M [00:30<00:01, 15.3M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 95%|████▋| 486M/512M [00:30<00:01, 16.4M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 95%|████▊| 488M/512M [00:30<00:01, 17.1M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 96%|████▊| 491M/512M [00:30<00:01, 16.1M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 96%|████▊| 494M/512M [00:31<00:01, 15.5M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 97%|████▊| 497M/512M [00:31<00:01, 15.3M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 97%|████▊| 499M/512M [00:31<00:00, 15.1M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 98%|████▉| 501M/512M [00:31<00:00, 14.8M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 98%|████▉| 503M/512M [00:31<00:00, 14.8M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 99%|████▉| 506M/512M [00:31<00:00, 14.7M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 99%|████▉| 507M/512M [00:31<00:00, 14.7M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 99%|████▉| 509M/512M [00:32<00:00, 14.9M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 100%|████▉| 512M/512M [00:32<00:00, 15.5M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 0%| | 0.00/512M [00:00<?, ? Bytes/s]
Total: 95%|████████████████████████▋ | 37.4G/39.4G [47:16<02:32, 13.2M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 0%| | 0.00/468M [00:00<?, ? Bytes/s]
Get sub-02/s .. _bold.nii.gz: 0%| | 33.4k/468M [00:00<38:03, 205k Bytes/s]
Get sub-02/s .. _bold.nii.gz: 0%| | 84.0k/468M [00:00<29:01, 269k Bytes/s]
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Get sub-02/s .. _bold.nii.gz: 0%| | 223k/468M [00:00<26:30, 294k Bytes/s]
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Get sub-02/s .. _bold.nii.gz: 0%| | 712k/468M [00:01<07:33, 1.03M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 0%| | 1.39M/468M [00:01<03:48, 2.04M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 1%| | 2.64M/468M [00:01<01:47, 4.35M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 1%| | 3.26M/468M [00:01<01:37, 4.77M Bytes/s]
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Get sub-02/s .. _bold.nii.gz: 1%| | 5.93M/468M [00:01<00:53, 8.61M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 2%| | 7.24M/468M [00:01<00:46, 9.84M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 2%| | 8.68M/468M [00:01<00:41, 11.1M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 2%| | 10.2M/468M [00:01<00:37, 12.1M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 3%| | 12.9M/468M [00:02<00:34, 13.2M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 3%| | 14.5M/468M [00:02<00:33, 13.5M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 4%|▏ | 17.4M/468M [00:02<00:32, 13.9M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 4%|▏ | 18.8M/468M [00:02<00:32, 14.0M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 4%|▏ | 20.4M/468M [00:02<00:31, 14.4M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 5%|▏ | 23.2M/468M [00:02<00:31, 14.2M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 5%|▏ | 24.9M/468M [00:02<00:29, 14.9M Bytes/s]
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Get sub-02/s .. _bold.nii.gz: 6%|▏ | 28.5M/468M [00:03<00:28, 15.5M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 7%|▎ | 30.5M/468M [00:03<00:26, 16.6M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 7%|▎ | 33.9M/468M [00:03<00:26, 16.7M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 8%|▎ | 35.7M/468M [00:03<00:25, 17.2M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 8%|▎ | 39.3M/468M [00:03<00:24, 17.3M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 9%|▎ | 41.8M/468M [00:04<00:27, 15.6M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 9%|▍ | 44.2M/468M [00:04<00:27, 15.2M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 10%|▍ | 46.2M/468M [00:04<00:28, 15.1M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 10%|▍ | 49.1M/468M [00:04<00:28, 14.8M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 11%|▍ | 51.4M/468M [00:04<00:28, 14.7M Bytes/s]
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Get sub-02/s .. _bold.nii.gz: 12%|▍ | 56.2M/468M [00:05<00:28, 14.4M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 13%|▌ | 58.6M/468M [00:05<00:28, 14.5M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 13%|▌ | 60.7M/468M [00:05<00:27, 14.7M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 13%|▌ | 62.4M/468M [00:05<00:26, 15.2M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 14%|▌ | 66.1M/468M [00:05<00:24, 16.3M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 15%|▌ | 68.0M/468M [00:05<00:23, 17.0M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 15%|▌ | 69.9M/468M [00:05<00:22, 17.4M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 16%|▋ | 73.6M/468M [00:06<00:22, 17.7M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 16%|▋ | 75.6M/468M [00:06<00:21, 18.1M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 17%|▋ | 78.2M/468M [00:06<00:24, 16.2M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 17%|▋ | 80.9M/468M [00:06<00:25, 15.2M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 18%|▋ | 83.1M/468M [00:06<00:26, 14.8M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 18%|▋ | 85.2M/468M [00:06<00:26, 14.7M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 19%|▊ | 87.9M/468M [00:07<00:26, 14.3M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 19%|▊ | 89.4M/468M [00:07<00:26, 14.4M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 20%|▊ | 92.3M/468M [00:07<00:26, 14.4M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 20%|▊ | 93.8M/468M [00:07<00:25, 14.6M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 21%|▊ | 97.1M/468M [00:07<00:24, 15.3M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 21%|▊ | 98.9M/468M [00:07<00:23, 15.9M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 22%|█ | 101M/468M [00:07<00:22, 16.6M Bytes/s]
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Get sub-02/s .. _bold.nii.gz: 26%|█▎ | 122M/468M [00:09<00:24, 14.3M Bytes/s]
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Get sub-02/s .. _bold.nii.gz: 28%|█▍ | 132M/468M [00:09<00:21, 15.7M Bytes/s]
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Get sub-02/s .. _bold.nii.gz: 29%|█▍ | 136M/468M [00:10<00:19, 17.5M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 29%|█▍ | 137M/468M [00:10<00:18, 17.4M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 30%|█▍ | 140M/468M [00:10<00:17, 18.4M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 31%|█▌ | 143M/468M [00:10<00:17, 18.2M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 31%|█▌ | 147M/468M [00:10<00:17, 18.4M Bytes/s]
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Get sub-02/s .. _bold.nii.gz: 32%|█▌ | 151M/468M [00:10<00:17, 18.3M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 33%|█▋ | 154M/468M [00:11<00:18, 17.2M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 33%|█▋ | 157M/468M [00:11<00:19, 16.1M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 34%|█▋ | 160M/468M [00:11<00:19, 15.4M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 35%|█▋ | 162M/468M [00:11<00:20, 14.9M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 35%|█▊ | 165M/468M [00:11<00:20, 14.7M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 36%|█▊ | 168M/468M [00:12<00:20, 14.6M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 36%|█▊ | 170M/468M [00:12<00:20, 14.7M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 37%|█▊ | 173M/468M [00:12<00:19, 15.0M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 38%|█▉ | 176M/468M [00:12<00:18, 16.0M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 38%|█▉ | 178M/468M [00:12<00:17, 16.4M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 39%|█▉ | 182M/468M [00:12<00:16, 17.2M Bytes/s]
Total: 95%|████████████████████████▋ | 37.4G/39.4G [47:30<02:33, 13.1M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 40%|█▉ | 186M/468M [00:13<00:15, 17.8M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 40%|██ | 188M/468M [00:13<00:15, 17.9M Bytes/s]
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Get sub-02/s .. _bold.nii.gz: 72%|███▌ | 337M/468M [00:22<00:07, 16.4M Bytes/s]
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Get sub-02/s .. _bold.nii.gz: 74%|███▋ | 345M/468M [00:22<00:08, 15.2M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 74%|███▋ | 346M/468M [00:22<00:08, 15.0M Bytes/s]
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Get sub-02/s .. _bold.nii.gz: 75%|███▊ | 352M/468M [00:23<00:07, 14.6M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 75%|███▊ | 353M/468M [00:23<00:08, 14.2M Bytes/s]
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Get sub-02/s .. _bold.nii.gz: 78%|███▉ | 366M/468M [00:24<00:06, 14.7M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 79%|███▉ | 368M/468M [00:24<00:06, 15.0M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 79%|███▉ | 371M/468M [00:24<00:06, 15.8M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 80%|███▉ | 373M/468M [00:24<00:05, 16.5M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 80%|████ | 375M/468M [00:24<00:05, 17.5M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 81%|████ | 377M/468M [00:24<00:05, 17.6M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 81%|████ | 380M/468M [00:24<00:05, 17.4M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 82%|████ | 383M/468M [00:25<00:04, 18.7M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 82%|████ | 386M/468M [00:25<00:04, 18.0M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 83%|████▏| 388M/468M [00:25<00:04, 18.3M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 84%|████▏| 392M/468M [00:25<00:03, 19.0M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 84%|████▏| 395M/468M [00:25<00:04, 17.8M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 85%|████▎| 399M/468M [00:25<00:03, 17.8M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 86%|████▎| 401M/468M [00:26<00:03, 17.9M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 86%|████▎| 405M/468M [00:26<00:03, 18.3M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 87%|████▎| 407M/468M [00:26<00:03, 18.0M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 87%|████▎| 409M/468M [00:26<00:03, 18.7M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 88%|████▍| 413M/468M [00:26<00:03, 18.2M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 89%|████▍| 415M/468M [00:26<00:02, 18.3M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 89%|████▍| 419M/468M [00:27<00:02, 18.3M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 90%|████▍| 421M/468M [00:27<00:02, 18.4M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 90%|████▌| 423M/468M [00:27<00:02, 18.2M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 91%|████▌| 426M/468M [00:27<00:02, 18.1M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 91%|████▌| 428M/468M [00:27<00:02, 18.3M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 92%|████▌| 430M/468M [00:27<00:02, 18.6M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 92%|████▌| 432M/468M [00:27<00:02, 17.9M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 93%|████▋| 435M/468M [00:27<00:01, 17.4M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 94%|████▋| 438M/468M [00:28<00:01, 16.2M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 94%|████▋| 440M/468M [00:28<00:01, 15.6M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 94%|████▋| 442M/468M [00:28<00:01, 15.1M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 95%|████▊| 445M/468M [00:28<00:01, 14.7M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 95%|████▊| 447M/468M [00:28<00:01, 14.5M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 96%|████▊| 449M/468M [00:28<00:01, 14.4M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 96%|████▊| 451M/468M [00:29<00:01, 14.5M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 97%|████▊| 454M/468M [00:29<00:01, 14.5M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 97%|████▊| 455M/468M [00:29<00:00, 14.8M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 98%|████▉| 457M/468M [00:29<00:00, 15.3M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 98%|████▉| 459M/468M [00:29<00:00, 15.9M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 98%|████▉| 461M/468M [00:29<00:00, 16.6M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 99%|████▉| 463M/468M [00:29<00:00, 17.5M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 100%|████▉| 466M/468M [00:29<00:00, 17.6M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 100%|████▉| 468M/468M [00:30<00:00, 18.2M Bytes/s]
Get sub-02/s .. _bold.nii.gz: 0%| | 0.00/468M [00:00<?, ? Bytes/s]
Total: 96%|████████████████████████▉ | 37.9G/39.4G [47:48<01:57, 13.2M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 0%| | 0.00/519M [00:00<?, ? Bytes/s]
Get sub-07/s .. _bold.nii.gz: 0%| | 2.24M/519M [00:00<00:37, 13.7M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 1%| | 4.18M/519M [00:00<00:36, 13.9M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 1%| | 7.14M/519M [00:00<00:35, 14.4M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 2%| | 8.60M/519M [00:00<00:35, 14.4M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 2%| | 10.1M/519M [00:00<00:35, 14.5M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 2%| | 12.8M/519M [00:00<00:35, 14.1M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 3%| | 14.3M/519M [00:01<00:35, 14.2M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 3%|▏ | 16.5M/519M [00:01<00:35, 14.1M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 4%|▏ | 18.6M/519M [00:01<00:34, 14.4M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 4%|▏ | 20.3M/519M [00:01<00:33, 14.9M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 4%|▏ | 21.9M/519M [00:01<00:32, 15.3M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 5%|▏ | 23.6M/519M [00:01<00:31, 15.5M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 5%|▏ | 25.5M/519M [00:01<00:30, 16.4M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 5%|▏ | 27.5M/519M [00:01<00:28, 17.3M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 6%|▏ | 31.1M/519M [00:02<00:29, 16.8M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 6%|▎ | 33.0M/519M [00:02<00:28, 17.3M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 7%|▎ | 36.7M/519M [00:02<00:28, 17.1M Bytes/s]
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Get sub-07/s .. _bold.nii.gz: 34%|█▋ | 175M/519M [00:10<00:23, 14.4M Bytes/s]
Total: 96%|████████████████████████▉ | 37.9G/39.4G [48:00<01:57, 13.2M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 34%|█▋ | 178M/519M [00:11<00:23, 14.2M Bytes/s]
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Get sub-07/s .. _bold.nii.gz: 89%|████▍| 460M/519M [00:28<00:03, 15.1M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 89%|████▍| 463M/519M [00:28<00:03, 14.5M Bytes/s]
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Get sub-07/s .. _bold.nii.gz: 90%|████▌| 468M/519M [00:29<00:03, 13.9M Bytes/s]
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Get sub-07/s .. _bold.nii.gz: 91%|████▌| 473M/519M [00:29<00:03, 14.6M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 91%|████▌| 475M/519M [00:29<00:02, 15.2M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 92%|████▌| 476M/519M [00:29<00:02, 15.8M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 92%|████▌| 478M/519M [00:29<00:02, 16.5M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 93%|████▋| 480M/519M [00:30<00:02, 17.5M Bytes/s]
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Get sub-07/s .. _bold.nii.gz: 94%|████▋| 486M/519M [00:30<00:01, 18.1M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 94%|████▋| 488M/519M [00:30<00:01, 18.2M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 95%|████▋| 491M/519M [00:30<00:01, 18.0M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 95%|████▊| 495M/519M [00:30<00:01, 18.4M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 96%|████▊| 499M/519M [00:31<00:01, 18.1M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 97%|████▊| 502M/519M [00:31<00:00, 17.4M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 97%|████▊| 505M/519M [00:31<00:00, 16.2M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 98%|████▉| 507M/519M [00:31<00:00, 15.3M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 98%|████▉| 510M/519M [00:31<00:00, 14.8M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 99%|████▉| 513M/519M [00:32<00:00, 14.8M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 99%|████▉| 516M/519M [00:32<00:00, 14.6M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 100%|████▉| 517M/519M [00:32<00:00, 14.5M Bytes/s]
Get sub-07/s .. _bold.nii.gz: 0%| | 0.00/519M [00:00<?, ? Bytes/s]
Total: 97%|█████████████████████████▎| 38.4G/39.4G [48:24<01:17, 13.2M Bytes/s]
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Get sub-01/s .. _bold.nii.gz: 1%| | 2.79M/514M [00:00<00:36, 14.0M Bytes/s]
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Get sub-01/s .. _bold.nii.gz: 27%|█▎ | 140M/514M [00:09<00:26, 13.9M Bytes/s]
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Get sub-01/s .. _bold.nii.gz: 28%|█▍ | 145M/514M [00:09<00:26, 14.0M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 28%|█▍ | 146M/514M [00:09<00:26, 14.1M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 29%|█▍ | 149M/514M [00:10<00:26, 13.8M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 29%|█▍ | 151M/514M [00:10<00:26, 13.7M Bytes/s]
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Get sub-01/s .. _bold.nii.gz: 32%|█▌ | 165M/514M [00:11<00:24, 14.0M Bytes/s]
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Get sub-01/s .. _bold.nii.gz: 33%|█▋ | 168M/514M [00:11<00:23, 14.4M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 33%|█▋ | 170M/514M [00:11<00:23, 14.8M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 33%|█▋ | 172M/514M [00:11<00:22, 15.4M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 34%|█▋ | 174M/514M [00:11<00:21, 16.0M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 34%|█▋ | 176M/514M [00:11<00:19, 17.2M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 35%|█▋ | 178M/514M [00:11<00:18, 18.3M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 35%|█▊ | 181M/514M [00:12<00:18, 18.2M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 36%|█▊ | 185M/514M [00:12<00:18, 17.9M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 37%|█▊ | 189M/514M [00:12<00:17, 18.1M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 37%|█▊ | 192M/514M [00:12<00:17, 17.9M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 38%|█▉ | 194M/514M [00:12<00:17, 18.3M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 38%|█▉ | 196M/514M [00:12<00:17, 18.1M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 39%|█▉ | 198M/514M [00:13<00:17, 18.1M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 39%|█▉ | 200M/514M [00:13<00:16, 18.7M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 40%|█▉ | 204M/514M [00:13<00:16, 18.3M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 40%|█▉ | 206M/514M [00:13<00:16, 18.4M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 40%|██ | 207M/514M [00:13<00:16, 18.7M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 41%|██ | 209M/514M [00:13<00:16, 18.8M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 41%|██ | 213M/514M [00:13<00:16, 18.4M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 42%|██ | 216M/514M [00:14<00:16, 18.1M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 43%|██▏ | 219M/514M [00:14<00:15, 18.6M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 43%|██▏ | 222M/514M [00:14<00:16, 17.9M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 44%|██▏ | 224M/514M [00:14<00:15, 18.5M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 44%|██▏ | 228M/514M [00:14<00:15, 18.6M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 45%|██▏ | 231M/514M [00:14<00:15, 17.9M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 46%|██▎ | 234M/514M [00:15<00:16, 17.1M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 46%|██▎ | 237M/514M [00:15<00:16, 16.4M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 46%|██▎ | 239M/514M [00:15<00:17, 16.0M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 47%|██▎ | 242M/514M [00:15<00:17, 15.5M Bytes/s]
Total: 97%|█████████████████████████▎| 38.4G/39.4G [48:40<01:18, 13.2M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 48%|██▍ | 244M/514M [00:15<00:17, 15.1M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 48%|██▍ | 246M/514M [00:15<00:17, 14.9M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 48%|██▍ | 249M/514M [00:16<00:17, 14.7M Bytes/s]
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Get sub-01/s .. _bold.nii.gz: 50%|██▌ | 258M/514M [00:16<00:16, 15.9M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 51%|██▌ | 260M/514M [00:16<00:15, 16.3M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 51%|██▌ | 262M/514M [00:16<00:14, 17.4M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 52%|██▌ | 266M/514M [00:17<00:14, 17.3M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 52%|██▌ | 269M/514M [00:17<00:13, 17.7M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 53%|██▋ | 272M/514M [00:17<00:13, 18.4M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 53%|██▋ | 275M/514M [00:17<00:13, 17.8M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 54%|██▋ | 277M/514M [00:17<00:14, 16.5M Bytes/s]
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Get sub-01/s .. _bold.nii.gz: 55%|██▋ | 282M/514M [00:18<00:15, 15.4M Bytes/s]
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Get sub-01/s .. _bold.nii.gz: 56%|██▊ | 289M/514M [00:18<00:15, 14.6M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 57%|██▊ | 292M/514M [00:18<00:15, 14.4M Bytes/s]
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Get sub-01/s .. _bold.nii.gz: 60%|███ | 308M/514M [00:19<00:13, 15.2M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 60%|███ | 310M/514M [00:20<00:12, 15.8M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 61%|███ | 312M/514M [00:20<00:11, 16.9M Bytes/s]
Get sub-01/s .. _bold.nii.gz: 61%|███ | 314M/514M [00:20<00:11, 17.8M Bytes/s]
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Get sub-01/s .. _bold.nii.gz: 64%|███▏ | 329M/514M [00:21<00:09, 18.7M Bytes/s]
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Get sub-01/s .. _bold.nii.gz: 99%|████▉| 507M/514M [00:33<00:00, 16.6M Bytes/s]
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Get sub-01/s .. _bold.nii.gz: 100%|████▉| 513M/514M [00:33<00:00, 17.6M Bytes/s]
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Total: 99%|█████████████████████████▋| 38.9G/39.4G [49:00<00:38, 13.2M Bytes/s]
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Get sub-04/s .. _bold.nii.gz: 1%| | 2.73M/513M [00:00<00:36, 14.1M Bytes/s]
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Get sub-04/s .. _bold.nii.gz: 2%| | 10.0M/513M [00:00<00:34, 14.5M Bytes/s]
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Get sub-04/s .. _bold.nii.gz: 9%|▎ | 46.1M/513M [00:03<00:28, 16.5M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 9%|▍ | 48.1M/513M [00:03<00:26, 17.3M Bytes/s]
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Get sub-04/s .. _bold.nii.gz: 10%|▍ | 53.4M/513M [00:03<00:26, 17.5M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 11%|▍ | 56.1M/513M [00:03<00:28, 16.0M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 11%|▍ | 59.0M/513M [00:03<00:29, 15.5M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 12%|▍ | 61.9M/513M [00:04<00:30, 15.0M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 12%|▍ | 64.1M/513M [00:04<00:30, 14.6M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 13%|▌ | 66.1M/513M [00:04<00:30, 14.5M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 13%|▌ | 68.9M/513M [00:04<00:30, 14.3M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 14%|▌ | 71.2M/513M [00:04<00:31, 14.2M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 14%|▌ | 73.1M/513M [00:04<00:30, 14.3M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 15%|▌ | 74.7M/513M [00:04<00:29, 14.6M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 15%|▌ | 76.4M/513M [00:05<00:29, 15.0M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 15%|▌ | 78.1M/513M [00:05<00:27, 15.6M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 16%|▌ | 79.9M/513M [00:05<00:26, 16.3M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 16%|▋ | 81.9M/513M [00:05<00:25, 17.1M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 17%|▋ | 85.7M/513M [00:05<00:23, 17.9M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 17%|▋ | 88.6M/513M [00:05<00:23, 17.9M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 18%|▋ | 90.5M/513M [00:05<00:25, 16.6M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 18%|▋ | 93.3M/513M [00:06<00:26, 15.7M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 19%|▋ | 95.6M/513M [00:06<00:27, 15.3M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 19%|▊ | 97.6M/513M [00:06<00:27, 15.0M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 20%|▉ | 100M/513M [00:06<00:29, 14.2M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 20%|▉ | 102M/513M [00:06<00:29, 13.7M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 20%|█ | 104M/513M [00:06<00:29, 13.9M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 21%|█ | 106M/513M [00:06<00:28, 14.1M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 21%|█ | 108M/513M [00:07<00:28, 14.0M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 22%|█ | 112M/513M [00:07<00:27, 14.6M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 22%|█ | 113M/513M [00:07<00:26, 15.0M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 22%|█ | 115M/513M [00:07<00:24, 16.2M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 23%|█▏ | 117M/513M [00:07<00:22, 17.4M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 24%|█▏ | 121M/513M [00:07<00:22, 17.5M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 24%|█▏ | 123M/513M [00:07<00:21, 17.9M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 25%|█▏ | 126M/513M [00:08<00:22, 17.5M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 25%|█▎ | 128M/513M [00:08<00:21, 18.1M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 26%|█▎ | 132M/513M [00:08<00:21, 17.5M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 26%|█▎ | 134M/513M [00:08<00:21, 18.0M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 27%|█▎ | 137M/513M [00:08<00:20, 17.9M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 27%|█▎ | 140M/513M [00:08<00:20, 18.4M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 28%|█▍ | 143M/513M [00:09<00:20, 18.4M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 28%|█▍ | 146M/513M [00:09<00:19, 18.6M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 29%|█▍ | 148M/513M [00:09<00:21, 16.8M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 29%|█▍ | 151M/513M [00:09<00:23, 15.7M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 30%|█▍ | 153M/513M [00:09<00:23, 15.2M Bytes/s]
Total: 99%|█████████████████████████▋| 38.9G/39.4G [49:10<00:38, 13.2M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 30%|█▌ | 155M/513M [00:09<00:24, 14.7M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 31%|█▌ | 158M/513M [00:10<00:24, 14.6M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 31%|█▌ | 160M/513M [00:10<00:24, 14.3M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 32%|█▌ | 162M/513M [00:10<00:25, 14.0M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 32%|█▌ | 165M/513M [00:10<00:25, 13.9M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 32%|█▌ | 166M/513M [00:10<00:24, 14.0M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 33%|█▋ | 167M/513M [00:10<00:24, 14.1M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 33%|█▋ | 170M/513M [00:10<00:24, 14.0M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 33%|█▋ | 172M/513M [00:11<00:24, 14.0M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 34%|█▋ | 173M/513M [00:11<00:24, 14.0M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 34%|█▋ | 175M/513M [00:11<00:23, 14.2M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 34%|█▋ | 176M/513M [00:11<00:23, 14.2M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 35%|█▋ | 179M/513M [00:11<00:23, 14.1M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 35%|█▊ | 181M/513M [00:11<00:23, 14.1M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 36%|█▊ | 183M/513M [00:11<00:24, 13.7M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 36%|█▊ | 186M/513M [00:12<00:24, 13.6M Bytes/s]
Get sub-04/s .. _bold.nii.gz: 36%|█▊ | 187M/513M [00:12<00:24, 13.5M Bytes/s]
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get(ok): sub-03/ses-mri/func/sub-03_ses-mri_task-facerecognition_run-8_space-MNI152NLin6Asym_desc-smoothAROMAnonaggr_bold.nii.gz (file) [from openneuro-derivatives...]
get(ok): sub-07/ses-mri/func/sub-07_ses-mri_task-facerecognition_run-6_space-MNI152NLin6Asym_desc-smoothAROMAnonaggr_bold.nii.gz (file) [from openneuro-derivatives...]
get(ok): sub-02/ses-mri/func/sub-02_ses-mri_task-facerecognition_run-5_space-MNI152NLin6Asym_desc-smoothAROMAnonaggr_bold.nii.gz (file) [from openneuro-derivatives...]
get(ok): sub-03/ses-mri/func/sub-03_ses-mri_task-facerecognition_run-6_space-MNI152NLin6Asym_desc-smoothAROMAnonaggr_bold.nii.gz (file) [from openneuro-derivatives...]
get(ok): sub-01/ses-mri/func/sub-01_ses-mri_task-facerecognition_run-7_space-MNI152NLin6Asym_desc-smoothAROMAnonaggr_bold.nii.gz (file) [from openneuro-derivatives...]
get(ok): sub-05/ses-mri/func/sub-05_ses-mri_task-facerecognition_run-3_space-MNI152NLin6Asym_desc-smoothAROMAnonaggr_bold.nii.gz (file) [from openneuro-derivatives...]
get(ok): sub-01/ses-mri/func/sub-01_ses-mri_task-facerecognition_run-6_space-MNI152NLin6Asym_desc-smoothAROMAnonaggr_bold.nii.gz (file) [from openneuro-derivatives...]
get(ok): sub-08/ses-mri/func/sub-08_ses-mri_task-facerecognition_run-2_space-MNI152NLin6Asym_desc-smoothAROMAnonaggr_bold.nii.gz (file) [from openneuro-derivatives...]
get(ok): sub-09/ses-mri/func/sub-09_ses-mri_task-facerecognition_run-5_space-MNI152NLin6Asym_desc-smoothAROMAnonaggr_bold.nii.gz (file) [from openneuro-derivatives...]
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# Installations
!pip install nilearn pandas
Defaulting to user installation because normal site-packages is not writeable
Requirement already satisfied: nilearn in /home/ubuntu/.local/lib/python3.10/site-packages (0.10.2)
Requirement already satisfied: pandas in /home/ubuntu/.local/lib/python3.10/site-packages (2.1.4)
Requirement already satisfied: joblib>=1.0.0 in /home/ubuntu/.local/lib/python3.10/site-packages (from nilearn) (1.3.2)
Requirement already satisfied: lxml in /home/ubuntu/.local/lib/python3.10/site-packages (from nilearn) (4.9.4)
Requirement already satisfied: nibabel>=3.2.0 in /home/ubuntu/.local/lib/python3.10/site-packages (from nilearn) (5.2.0)
Requirement already satisfied: numpy>=1.19.0 in /home/ubuntu/.local/lib/python3.10/site-packages (from nilearn) (1.26.2)
Requirement already satisfied: packaging in /usr/lib/python3/dist-packages (from nilearn) (21.3)
Requirement already satisfied: requests>=2.25.0 in /usr/lib/python3/dist-packages (from nilearn) (2.25.1)
Requirement already satisfied: scikit-learn>=1.0.0 in /home/ubuntu/.local/lib/python3.10/site-packages (from nilearn) (1.3.2)
Requirement already satisfied: scipy>=1.6.0 in /home/ubuntu/.local/lib/python3.10/site-packages (from nilearn) (1.11.4)
Requirement already satisfied: python-dateutil>=2.8.2 in /home/ubuntu/.local/lib/python3.10/site-packages (from pandas) (2.8.2)
Requirement already satisfied: pytz>=2020.1 in /usr/lib/python3/dist-packages (from pandas) (2022.1)
Requirement already satisfied: tzdata>=2022.1 in /home/ubuntu/.local/lib/python3.10/site-packages (from pandas) (2023.3)
Requirement already satisfied: six>=1.5 in /usr/lib/python3/dist-packages (from python-dateutil>=2.8.2->pandas) (1.16.0)
Requirement already satisfied: threadpoolctl>=2.0.0 in /home/ubuntu/.local/lib/python3.10/site-packages (from scikit-learn>=1.0.0->nilearn) (3.2.0)
WARNING: Error parsing dependencies of distro-info: Invalid version: '1.1build1'
WARNING: Error parsing dependencies of python-debian: Invalid version: '0.1.43ubuntu1'
Load SPM and import Python and Nipype modules#
import lmod
await lmod.purge(force=True)
await lmod.load('spm12/r7771')
await lmod.list()
Lmod Warning: The environment MODULEPATH has been changed in unexpected ways.
Lmod is unable to use given MODULEPATH. It is using:
"/cvmfs/neurodesk.ardc.edu.au/neurodesk-modules/functional_imaging:/cvmfs/neurodesk.ardc.edu.au/neurodesk-modules/rodent_imaging:/cvmfs/neurodesk.ardc.edu.au/neurodesk-modules/image_registration:/cvmfs/neurodesk.ardc.edu.au/neurodesk-modules/structural_imaging:/cvmfs/neurodesk.ardc.edu.au/neurodesk-modules/image_segmentation:/cvmfs/neurodesk.ardc.edu.au/neurodesk-modules/quantitative_imaging:/cvmfs/neurodesk.ardc.edu.au/neurodesk-modules/workflows:/cvmfs/neurodesk.ardc.edu.au/neurodesk-modules/hippocampus:/cvmfs/neurodesk.ardc.edu.au/neurodesk-modules/image_reconstruction:/cvmfs/neurodesk.ardc.edu.au/neurodesk-modules/data_organisation:/cvmfs/neurodesk.ardc.edu.au/neurodesk-modules/electrophysiology:/cvmfs/neurodesk.ardc.edu.au/neurodesk-modules/phase_processing:/cvmfs/neurodesk.ardc.edu.au/neurodesk-modules/programming:/cvmfs/neurodesk.ardc.edu.au/neurodesk-modules/machine_learning:/cvmfs/neurodesk.ardc.edu.au/neurodesk-modules/diffusion_imaging:/cvmfs/neurodesk.ardc.edu.au/neurodesk-modules/body:/cvmfs/neurodesk.ardc.edu.au/neurodesk-modules/visualization:/cvmfs/neurodesk.ardc.edu.au/neurodesk-modules/spectroscopy:/cvmfs/neurodesk.ardc.edu.au/neurodesk-modules/quality_control:/cvmfs/neurodesk.ardc.edu.au/neurodesk-modules/statistics:/cvmfs/neurodesk.ardc.edu.au/neurodesk-modules/shape_analysis:/cvmfs/neurodesk.ardc.edu.au/neurodesk-modules/spine:/cvmfs/neurodesk.ardc.edu.au/neurodesk-modules/molecular_biology:/cvmfs/neurodesk.ardc.edu.au/neurodesk-modules/bids_apps:/cvmfs/neurodesk.ardc.edu.au/neurodesk-modules/cryo_EM::".
Please use "module use ..." to change MODULEPATH instead.
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'spm12/r7771']
import pandas as pd
import numpy as np
from nilearn import plotting
import matplotlib.pyplot as plt
import json
import os
from os.path import join as opj
from scipy.io import loadmat
import nipype.algorithms.modelgen as model
from nipype.interfaces import spm
from nipype.interfaces.io import DataSink, DataGrabber
from nipype.interfaces.utility import IdentityInterface, Function
from nipype import Node, Workflow, MapNode
from nipype.algorithms.misc import Gunzip
import nipype
NIPYPE_VERSION = nipype.__version__
print(NIPYPE_VERSION)
1.8.6
if NIPYPE_VERSION <= '1.8.6':
print('Contrasts need to be defined manually and wont be computed automatically when they are defined in Level1Design using the factor_info parameter')
# starting in nipype version 1.8.7., when factor_info parameter is used in Level1design T and F contrasts (ess*, con*, spmF* and spmT* images)
# are created automatically by in EstimateModel by SPM
Contrasts need to be defined manually and wont be computed automatically when they are defined in Level1Design using the factor_info parameter
Analysis#
1. First Level Analysis#
Prepare Data Input#
#base directories
data_base_dir = os.getcwd()
experiment_dir = opj(data_base_dir, 'spm_analysis/') #where to store the working and datasink directories
#list of subject identifiers and runs
sub_list = ['01', '02', '03', '04', '05', '06', '07', '08', '09']
#only take run 1 and 2 for computational reasons
run_id = [1,2]
#TR of functional images
with open(opj(data_base_dir,'ds000117/task-facerecognition_bold.json'), 'rt') as fp:
task_info = json.load(fp)
TR = float(task_info['RepetitionTime'])
print('Repetition Time:', TR)
Repetition Time: 2.0
Start the workflow#
wf = Workflow(name='level1_spm', base_dir=experiment_dir)
wf.config["execution"]["crashfile_format"] = "txt"
Input stream#
infosource = Node(IdentityInterface(fields=["subject_id"]),
name="infosource")
infosource.iterables = [("subject_id", sub_list)]
SPM12 can accept NIfTI files as input, but only if they are not compressed (‘unzipped’). Use Gunzip node to unzip the files, before feeding them it to the model specification node.#
gunzip_func = MapNode(Gunzip(), name='gunzip_func', iterfield='in_file')
datagrabber = Node(interface=DataGrabber(
infields=["subject_id","run_id"], outfields=["func", "events"]
), name="datagrabber"
)
# Specify task names and return a sorted filelist to ensure to match files to correct runs
datagrabber.inputs.run_id = run_id
datagrabber.inputs.sort_filelist = True
datagrabber.inputs.template = "*"
datagrabber.inputs.base_directory = data_base_dir
# Define arguments fill the wildcards in the below paths
datagrabber.inputs.template_args = dict(
func=[["subject_id","subject_id","run_id"]],
events=[["subject_id","subject_id", "run_id"]]
)
datagrabber.inputs.field_template = dict(
func= "ds000117-fmriprep/sub-%s/ses-mri/func/sub-%s_ses-mri_task-facerecognition_run-%d_space-MNI152NLin6Asym_desc-smoothAROMAnonaggr_bold.nii.gz",
events="ds000117/sub-%s/ses-mri/func/sub-%s_ses-mri_task-facerecognition_run-0%d_events.tsv",
)
wf.connect([
(infosource, datagrabber, [("subject_id", "subject_id")])])
wf.connect([(datagrabber, gunzip_func, [('func', 'in_file')])])
First-level GLM#
The subsequent task involves obtaining information such as stimuli type, onset, duration, and other regressors for integration into the GLM model. To accomplish this, a helper function needs to be created, which will be referred to as subjectinfo.
A TSV file for each run looks like this:
!cat ds000117/sub-01/ses-mri/func/sub-01_ses-mri_task-facerecognition_run-01_events.tsv
onset duration circle_duration stim_type trigger button_pushed response_time stim_file
0 .908 .534 FAMOUS 5 4 2.158 func/f013.bmp
3.273 .962 .586 FAMOUS 6 4 1.233 func/f013.bmp
6.647 .825 .546 UNFAMILIAR 13 4 1.183 func/u014.bmp
9.838 .968 .597 UNFAMILIAR 14 4 .930 func/u014.bmp
12.978 .904 .415 UNFAMILIAR 13 7 1.068 func/u016.bmp
16.219 .859 .558 UNFAMILIAR 14 7 1.207 func/u016.bmp
19.443 .804 .585 UNFAMILIAR 13 4 1.286 func/u010.bmp
22.55 .879 .526 UNFAMILIAR 14 4 1.008 func/u010.bmp
25.606 .866 .416 SCRAMBLED 17 7 1.929 func/s002.bmp
28.697 .884 .461 SCRAMBLED 18 4 1.300 func/s002.bmp
31.319 20.000 20.000 n/a 999 20000 20.000 func/i999.bmp
51.898 .974 .543 FAMOUS 5 7 2.477 func/f004.bmp
55.173 .925 .534 SCRAMBLED 17 7 1.372 func/s008.bmp
58.313 .985 .439 UNFAMILIAR 13 4 1.431 func/u012.bmp
61.587 .862 .533 FAMOUS 5 4 1.086 func/f012.bmp
64.677 .869 .461 FAMOUS 6 4 1.018 func/f012.bmp
67.75 .804 .446 SCRAMBLED 17 7 1.267 func/s007.bmp
70.774 .873 .445 SCRAMBLED 17 7 1.211 func/s011.bmp
73.881 .983 .466 FAMOUS 7 7 1.203 func/f004.bmp
77.105 .998 .468 SCRAMBLED 17 7 1.240 func/s015.bmp
80.445 .833 .583 SCRAMBLED 19 7 1.379 func/s008.bmp
83.469 .940 .434 FAMOUS 5 7 1.637 func/f006.bmp
86.676 .813 .488 FAMOUS 6 7 1.209 func/f006.bmp
89.833 .994 .570 UNFAMILIAR 15 4 1.444 func/u012.bmp
93.19 .997 .594 FAMOUS 5 7 1.352 func/f009.bmp
96.448 .869 .491 FAMOUS 5 7 1.012 func/f005.bmp
99.655 .821 .571 SCRAMBLED 19 7 1.483 func/s007.bmp
102.695 .933 .437 FAMOUS 5 7 1.228 func/f002.bmp
105.869 .818 .481 FAMOUS 6 7 1.109 func/f002.bmp
108.942 .925 .487 SCRAMBLED 19 7 1.205 func/s011.bmp
111.615 20.000 20.000 n/a 999 20000 20.000 func/i999.bmp
132.144 .980 .498 FAMOUS 5 7 .898 func/f014.bmp
135.351 .833 .458 SCRAMBLED 19 n/a 0 func/s015.bmp
138.541 .999 .591 SCRAMBLED 17 4 1.940 func/s004.bmp
141.849 .868 .548 FAMOUS 5 4 1.366 func/f001.bmp
144.906 .832 .421 FAMOUS 6 4 1.433 func/f001.bmp
147.946 .897 .445 FAMOUS 7 7 .767 func/f009.bmp
151.186 .971 .575 UNFAMILIAR 13 7 1.604 func/u013.bmp
154.393 .978 .458 FAMOUS 7 7 1.137 func/f005.bmp
157.701 .984 .564 FAMOUS 5 7 1.248 func/f015.bmp
161.008 .900 .556 UNFAMILIAR 13 4 1.239 func/u011.bmp
164.265 .828 .594 UNFAMILIAR 14 4 1.269 func/u011.bmp
167.306 .830 .447 FAMOUS 7 7 1.116 func/f014.bmp
170.312 .992 .415 FAMOUS 5 7 1.806 func/f003.bmp
173.519 .942 .442 FAMOUS 6 7 1.361 func/f003.bmp
176.777 .874 .539 SCRAMBLED 19 4 1.363 func/s004.bmp
179.984 .845 .559 SCRAMBLED 17 4 1.131 func/s012.bmp
183.058 .981 .467 SCRAMBLED 17 7 .872 func/s001.bmp
186.365 .880 .559 SCRAMBLED 18 7 1.000 func/s001.bmp
189.422 .858 .414 UNFAMILIAR 15 4 1.095 func/u013.bmp
192.027 20.000 20.000 n/a 999 20000 20.000 func/i999.bmp
212.623 .873 .554 SCRAMBLED 17 4 1.718 func/s006.bmp
215.83 .863 .558 FAMOUS 7 7 1.115 func/f015.bmp
218.937 .984 .479 SCRAMBLED 17 7 1.449 func/s014.bmp
222.178 .873 .487 SCRAMBLED 18 7 .834 func/s014.bmp
225.452 .912 .536 UNFAMILIAR 13 4 1.099 func/u002.bmp
228.559 .952 .419 UNFAMILIAR 14 4 .915 func/u002.bmp
231.733 .891 .465 UNFAMILIAR 13 4 1.023 func/u004.bmp
234.89 .947 .496 UNFAMILIAR 14 4 .953 func/u004.bmp
238.164 .824 .560 SCRAMBLED 19 7 1.068 func/s012.bmp
241.187 .922 .425 FAMOUS 5 4 1.154 func/f011.bmp
244.478 .941 .593 SCRAMBLED 17 7 1.283 func/s005.bmp
247.668 .857 .482 SCRAMBLED 18 7 1.023 func/s005.bmp
250.825 .813 .524 SCRAMBLED 19 7 1.329 func/s006.bmp
253.849 .921 .450 FAMOUS 5 7 1.221 func/f007.bmp
257.072 .903 .528 SCRAMBLED 17 7 .788 func/s016.bmp
260.163 .969 .419 FAMOUS 5 4 1.369 func/f010.bmp
263.403 .892 .516 FAMOUS 6 4 1.183 func/f010.bmp
266.627 .950 .562 SCRAMBLED 17 7 1.326 func/s009.bmp
269.901 .935 .561 SCRAMBLED 18 7 1.010 func/s009.bmp
273.025 .896 .434 FAMOUS 7 7 1.431 func/f011.bmp
275.664 20.000 20.000 n/a 999 20000 20.000 func/i999.bmp
296.109 .895 .410 SCRAMBLED 17 4 1.541 func/s010.bmp
299.233 .908 .452 SCRAMBLED 18 4 1.010 func/s010.bmp
302.373 .866 .457 UNFAMILIAR 13 4 1.137 func/u008.bmp
305.53 .880 .519 FAMOUS 7 7 1.127 func/f007.bmp
308.588 .821 .417 SCRAMBLED 17 7 1.208 func/s003.bmp
311.594 .873 .403 SCRAMBLED 18 7 .965 func/s003.bmp
314.784 .967 .543 SCRAMBLED 19 7 1.126 func/s016.bmp
318.008 .913 .495 SCRAMBLED 17 4 1.137 func/s013.bmp
321.165 .957 .477 UNFAMILIAR 13 4 1.073 func/u007.bmp
324.423 .826 .534 UNFAMILIAR 14 4 .934 func/u007.bmp
327.479 .998 .457 UNFAMILIAR 13 4 1.293 func/u015.bmp
330.77 .981 .534 UNFAMILIAR 13 4 1.075 func/u009.bmp
334.011 .920 .491 UNFAMILIAR 15 4 1.075 func/u008.bmp
337.134 .967 .442 FAMOUS 5 7 .754 func/f008.bmp
340.425 .946 .552 FAMOUS 6 7 .917 func/f008.bmp
343.632 .870 .489 UNFAMILIAR 13 4 1.286 func/u003.bmp
346.839 .990 .552 UNFAMILIAR 14 4 1.141 func/u003.bmp
350.146 .937 .542 SCRAMBLED 19 4 1.334 func/s013.bmp
352.836 20.000 20.000 n/a 999 20000 20.000 func/i999.bmp
373.298 .816 .420 UNFAMILIAR 13 4 1.415 func/u001.bmp
376.455 .837 .577 UNFAMILIAR 14 4 1.247 func/u001.bmp
379.646 .825 .572 UNFAMILIAR 13 7 1.292 func/u006.bmp
382.786 .995 .540 UNFAMILIAR 15 4 1.003 func/u015.bmp
385.993 .976 .447 UNFAMILIAR 13 7 1.536 func/u005.bmp
389.3 .906 .558 UNFAMILIAR 15 4 1.078 func/u009.bmp
392.508 .957 .526 FAMOUS 5 7 1.223 func/f016.bmp
395.264 .012 0 n/a 999 0 0 func/Circle.bmp
As mentioned in the introduction, these event files will be adapted in the function ‘subjectinfo’ to demonstrate the setup of a 3x2 factorial design analysis. The original stimulus types (stim_types) FAMOUS, NONFAMILIAR, SCRAMBLED will be replaced with F1 (first presentation of an image of a famous face)/ F2 (second presentation of image), U1/U2 and S1/S1 due to the first or second occurance of the respective stimulus file (stim_file). In addition, stimuli of stimulus type n/a are deleted.
# Get the subject information: to create a GLM model, Nipype needs a list of Bunch objects per run (session)
def subjectinfo(events):
# packages need to be imported within the function for node to work (function is executed in a standalone environment)
from nipype.interfaces.base import Bunch
import pandas as pd
from collections import OrderedDict
trialinfo = pd.read_table(events)
# Filter out rows where stim_type does not contain 'FAMOUS', 'UNFAMILIAR', or 'SCRAMBLED' --> n/a
trialinfo = trialinfo[trialinfo['stim_type'].isin(['FAMOUS', 'UNFAMILIAR', 'SCRAMBLED'])].reset_index(drop=True)
# Create a dictionary to store the count of occurrences for each stim_file
stim_file_count = {}
# Iterate over each row in the dataframe
for index, row in trialinfo.iterrows():
# Get the stim_file value for the current row
stim_file = row['stim_file']
# If the stim_file is not in the stim_file_count dictionary, add it with count 1
if stim_file not in stim_file_count:
stim_file_count[stim_file] = 1
else:
# Increment the count for the stim_file and update the dictionary
stim_file_count[stim_file] += 1
# Get the count of occurrences for the current stim_file
count = stim_file_count[stim_file]
# Determine the new stim_type based on the stim_file and its count
if 'FAMOUS' in row['stim_type']:
new_stim_type = f'F{count}'
elif 'UNFAMILIAR' in row['stim_type']:
new_stim_type = f'U{count}'
else:
# If it's not 'FAMOUS' or 'UNFAMILIAR', it must be 'SCRAMBLED'
new_stim_type = f'S{count}'
# Update the stim_type in the dataframe
trialinfo.at[index, 'stim_type'] = new_stim_type
# Define the custom sorting order (instead of an alphabetic ordering F1, F2, S1, S2, U1, U2
sorting_order = OrderedDict([('F1', 1), ('F2', 2), ('U1', 3), ('U2', 4), ('S1', 5), ('S2', 6)])
conditions = []
onsets = []
durations = []
# Group trialinfo by 'stim_type' and iterate over groups
grouped_trials = trialinfo.groupby('stim_type')
for group_key in sorting_order.keys(): # Use keys() to iterate over keys
group_data = grouped_trials.get_group(group_key)
conditions.append(group_key)
onsets.append(group_data['onset'].tolist())
durations.append(group_data['duration'].tolist())
subject_info = Bunch(conditions=conditions,
onsets=onsets,
durations=durations)
return subject_info
getsubjectinfo = MapNode(Function(input_names=['events'],
output_names=['subject_info'],
function=subjectinfo),
name='getsubjectinfo', iterfield=['events'])
wf.connect(datagrabber, 'events', getsubjectinfo, 'events')
modelspec = Node(model.SpecifySPMModel(concatenate_runs=True,
input_units = 'secs',
output_units = 'secs',
time_repetition= TR,
high_pass_filter_cutoff=128), #in secs, slow signal drifts with a period > 128 will be removed
name='modelspec')
wf.connect(getsubjectinfo, 'subject_info', modelspec,'subject_info')
wf.connect(gunzip_func, 'out_file', modelspec, 'functional_runs')
Level1Design: canonical HRF#
The design matrix will be constructed without including derivatives of the hemodynamic response function (HRF) and therefore assumes a constant delay and dispersion for the hemodynamic response.
Starting in nipype version 1.8.7., when factor_info parameter is used in Level1design, T and F contrasts (ess*, con*, spmF* and spmT* images) are created automatically in EstimateModel by SPM. They need to be connected directly to a data output module#
The following lines automatically inform SPM to create a default set of contrats for a factorial design.
# Level1Design - Generates an SPM design matrix
level1design = Node(spm.Level1Design(bases={'hrf':{'derivs': [0,0]}}, # no derivatives
timing_units='secs',
interscan_interval=TR,
microtime_onset=8, #The onset/time-bin in seconds for alignment
microtime_resolution=16, #Number of time-bins per scan in secs
mask_threshold=0.8,
global_intensity_normalization='none',
volterra_expansion_order=1, #do not model interactions
model_serial_correlations='AR(1)'), # serial correlations --> autoregressive AR(1) model during Classical (ReML) parameter estimation
name='level1design')
if NIPYPE_VERSION > '1.8.6':
# Factors need to match conditions: product of levels (here 6) needs to match number of condition names --> F1, F2, U1, U2, S1, S2
level1design.inputs.factor_info = [dict(name = 'Face', levels = 3),
dict(name = 'Rep', levels = 2)]
wf.connect(modelspec,'session_info', level1design, 'session_info')
stty: 'standard input': Inappropriate ioctl for device
# EstimateModel - estimate the parameters of the model
level1estimate = Node(spm.EstimateModel(estimation_method={'Classical':1}), #EstimateModel2
name='level1estimate')
wf.connect(level1design, 'spm_mat_file', level1estimate, 'spm_mat_file')
Specify GLM contrast for nipype<=1.8.6#
Contrasts need to be set up manually as they are not created automatically in EstimateModel when factor_info parameter is used in Level1Design.
condition_names = ['F1', 'F2', 'U1', 'U2', 'S1', 'S2'] #The condition names must match the names listed in the subjectinfo function described above.
cond1 = ('Positive effect of condition', 'T', condition_names, [1, 1, 1, 1, 1, 1])
# positive effect face
face1 = ('Positive effect of Face_1', 'T', condition_names, [1, 1, -1, -1, 0, 0])
face2 = ('Positive effect of Face_2', 'T', condition_names, [0, 0, 1, 1, -1, -1])
# rep1 > rep2
rep1 = ('Positive effect of Rep', 'T', condition_names, [1, -1, 1, -1, 1, -1])
# positive interaction face x rep
int1 = ('Positive interaction of Face x Rep1', 'T', condition_names, [1, -1, -1, 1, 0, 0])
int2 = ('Positive interaction of Face x Rep2', 'T', condition_names, [0, 0, 1, -1, -1, 1])
contf1 = ['Average effect condition', 'F', [cond1]]
contf2 = ['Main effect Face', 'F', [face1, face2]]
contf3 = ['Main effect Rep', 'F', [rep1]]
contf4 = ['Interaction: Face x Rep', 'F', [int1, int2]]
contrasts = [contf1, contf2, contf3, contf4, cond1, face1, face2, rep1, int1, int2]
# EstimateContrast - explicit contrast estimation with nipype version <= 1.8.6 with the defined contrast list
if NIPYPE_VERSION <= '1.8.6':
level1conest = Node(spm.EstimateContrast(),
name='level1conest')
level1conest.inputs.contrasts = contrasts
wf.connect([(level1estimate, level1conest, [('spm_mat_file','spm_mat_file'),
('beta_images','beta_images'),
('residual_image','residual_image')])])
Output stream#
# save all results into one
datasink = Node(DataSink(), name='sinker')
datasink.inputs.base_directory=opj(experiment_dir, "level1_spm_results")
wf.connect(infosource, 'subject_id', datasink, 'container')
if NIPYPE_VERSION <= '1.8.6':
wf.connect([(level1conest, datasink, [('spm_mat_file', '1stLevel.@spm_mat'),
('spmT_images', '1stLevel.@T'),
('con_images', '1stLevel.@con'),
('spmF_images', '1stLevel.@F'),
('ess_images', '1stLevel.@ess')]),
])
# starting in nipype version 1.8.7., when factor_info parameter is used in Level1Design T and F contrasts (ess*, con*, spmF* and spmT* images)
# are created automatically by SPM in EstimateModel
else:
wf.connect(level1design, 'spm_mat_file', datasink, '1stLevel.@spm_mat')
wf.connect([(level1estimate, datasink, [
('spmT_images', '1stLevel.@T'),
('con_images', '1stLevel.@con'),
('spmF_images', '1stLevel.@F'),
('ess_images', '1stLevel.@ess')]),
])
subFolders = [('%s/1stLevel' % s, 'sub-%s/' % s)
for s in sub_list]
subFolders1 = [('_subject_id_%s'%(s), '')
for s in sub_list]
subFolders.extend(subFolders1)
datasink.inputs.substitutions = subFolders
# Create 1st-level analysis output graph
wf.write_graph(graph2use='colored', format='png', simple_form=True)
# Visualize the graph
from IPython.display import Image
Image(filename=opj(wf.base_dir, wf.name, 'graph.png'))
240705-06:56:47,509 nipype.workflow INFO:
Generated workflow graph: /storage/tmp/tmp7ql6rn7s/spm_analysis/level1_spm/graph.png (graph2use=colored, simple_form=True).
wf.run(plugin="MultiProc") #will use all CPUs
#ca. 10 min
240705-06:56:47,549 nipype.workflow INFO:
Workflow level1_spm settings: ['check', 'execution', 'logging', 'monitoring']
240705-06:56:47,662 nipype.workflow INFO:
Running in parallel.
240705-06:56:47,669 nipype.workflow INFO:
[MultiProc] Running 0 tasks, and 9 jobs ready. Free memory (GB): 113.22/113.22, Free processors: 32/32.
240705-06:56:48,326 nipype.workflow INFO:
[Node] Setting-up "level1_spm.datagrabber" in "/storage/tmp/tmp7ql6rn7s/spm_analysis/level1_spm/_subject_id_01/datagrabber".
240705-06:56:48,328 nipype.workflow INFO:
[Node] Setting-up "level1_spm.datagrabber" in "/storage/tmp/tmp7ql6rn7s/spm_analysis/level1_spm/_subject_id_03/datagrabber".
240705-06:56:48,328 nipype.workflow INFO:
[Node] Setting-up "level1_spm.datagrabber" in "/storage/tmp/tmp7ql6rn7s/spm_analysis/level1_spm/_subject_id_04/datagrabber".
240705-06:56:48,327 nipype.workflow INFO:
[Node] Setting-up "level1_spm.datagrabber" in "/storage/tmp/tmp7ql6rn7s/spm_analysis/level1_spm/_subject_id_02/datagrabber".
240705-06:56:48,329 nipype.workflow INFO:
[Node] Setting-up "level1_spm.datagrabber" in "/storage/tmp/tmp7ql6rn7s/spm_analysis/level1_spm/_subject_id_05/datagrabber".
240705-06:56:48,329 nipype.workflow INFO:
[Node] Setting-up "level1_spm.datagrabber" in "/storage/tmp/tmp7ql6rn7s/spm_analysis/level1_spm/_subject_id_08/datagrabber".
240705-06:56:48,329 nipype.workflow INFO:
[Node] Setting-up "level1_spm.datagrabber" in "/storage/tmp/tmp7ql6rn7s/spm_analysis/level1_spm/_subject_id_07/datagrabber".
240705-06:56:48,330 nipype.workflow INFO:
[Node] Setting-up "level1_spm.datagrabber" in "/storage/tmp/tmp7ql6rn7s/spm_analysis/level1_spm/_subject_id_06/datagrabber".
240705-06:56:48,330 nipype.workflow INFO:
[Node] Setting-up "level1_spm.datagrabber" in "/storage/tmp/tmp7ql6rn7s/spm_analysis/level1_spm/_subject_id_09/datagrabber".
240705-06:56:48,340 nipype.workflow INFO:
[Node] Executing "datagrabber" <nipype.interfaces.io.DataGrabber>
240705-06:56:48,343 nipype.workflow INFO:
[Node] Executing "datagrabber" <nipype.interfaces.io.DataGrabber>
240705-06:56:48,345 nipype.workflow INFO:
[Node] Executing "datagrabber" <nipype.interfaces.io.DataGrabber>
240705-06:56:48,345 nipype.workflow INFO:
[Node] Executing "datagrabber" <nipype.interfaces.io.DataGrabber>
240705-06:56:48,345 nipype.workflow INFO:
[Node] Executing "datagrabber" <nipype.interfaces.io.DataGrabber>
240705-06:56:48,345 nipype.workflow INFO:
[Node] Executing "datagrabber" <nipype.interfaces.io.DataGrabber>
240705-06:56:48,347 nipype.workflow INFO:
[Node] Executing "datagrabber" <nipype.interfaces.io.DataGrabber>
240705-06:56:48,347 nipype.workflow INFO:
[Node] Finished "datagrabber", elapsed time 0.002252s.
240705-06:56:48,347 nipype.workflow INFO:
[Node] Executing "datagrabber" <nipype.interfaces.io.DataGrabber>
240705-06:56:48,346 nipype.workflow INFO:
[Node] Executing "datagrabber" <nipype.interfaces.io.DataGrabber>
240705-06:56:48,353 nipype.workflow INFO:
[Node] Finished "datagrabber", elapsed time 0.003252s.
240705-06:56:48,358 nipype.workflow INFO:
[Node] Finished "datagrabber", elapsed time 0.004466s.
240705-06:56:48,358 nipype.workflow INFO:
[Node] Finished "datagrabber", elapsed time 0.004179s.
240705-06:56:48,359 nipype.workflow INFO:
[Node] Finished "datagrabber", elapsed time 0.005729s.
240705-06:56:48,361 nipype.workflow INFO:
[Node] Finished "datagrabber", elapsed time 0.007276s.
240705-06:56:48,363 nipype.workflow INFO:
[Node] Finished "datagrabber", elapsed time 0.007739s.
240705-06:56:48,364 nipype.workflow INFO:
[Node] Finished "datagrabber", elapsed time 0.007563s.
240705-06:56:48,365 nipype.workflow INFO:
[Node] Finished "datagrabber", elapsed time 0.006184s.
240705-06:56:49,675 nipype.workflow INFO:
[Job 0] Completed (level1_spm.datagrabber).
240705-06:56:49,684 nipype.workflow INFO:
[Job 1] Completed (level1_spm.datagrabber).
240705-06:56:49,687 nipype.workflow INFO:
[Job 2] Completed (level1_spm.datagrabber).
240705-06:56:49,689 nipype.workflow INFO:
[Job 3] Completed (level1_spm.datagrabber).
240705-06:56:49,692 nipype.workflow INFO:
[Job 4] Completed (level1_spm.datagrabber).
240705-06:56:49,694 nipype.workflow INFO:
[Job 5] Completed (level1_spm.datagrabber).
240705-06:56:49,696 nipype.workflow INFO:
[Job 6] Completed (level1_spm.datagrabber).
240705-06:56:49,699 nipype.workflow INFO:
[Job 7] Completed (level1_spm.datagrabber).
240705-06:56:49,700 nipype.workflow INFO:
[Job 8] Completed (level1_spm.datagrabber).
240705-06:56:49,704 nipype.workflow INFO:
[MultiProc] Running 0 tasks, and 18 jobs ready. Free memory (GB): 113.22/113.22, Free processors: 32/32.
240705-06:56:51,673 nipype.workflow INFO:
[MultiProc] Running 0 tasks, and 36 jobs ready. Free memory (GB): 113.22/113.22, Free processors: 32/32.
240705-06:56:51,812 nipype.workflow INFO:
[Node] Setting-up "_gunzip_func0" in "/storage/tmp/tmp7ql6rn7s/spm_analysis/level1_spm/_subject_id_01/gunzip_func/mapflow/_gunzip_func0".
240705-06:56:51,824 nipype.workflow INFO:
[Node] Setting-up "_getsubjectinfo0" in "/storage/tmp/tmp7ql6rn7s/spm_analysis/level1_spm/_subject_id_01/getsubjectinfo/mapflow/_getsubjectinfo0".
240705-06:56:51,824 nipype.workflow INFO:
[Node] Setting-up "_gunzip_func1" in "/storage/tmp/tmp7ql6rn7s/spm_analysis/level1_spm/_subject_id_01/gunzip_func/mapflow/_gunzip_func1".
240705-06:56:51,826 nipype.workflow INFO:
[Node] Setting-up "_getsubjectinfo1" in "/storage/tmp/tmp7ql6rn7s/spm_analysis/level1_spm/_subject_id_02/getsubjectinfo/mapflow/_getsubjectinfo1".
240705-06:56:51,825 nipype.workflow INFO:
[Node] Setting-up "_gunzip_func0" in "/storage/tmp/tmp7ql6rn7s/spm_analysis/level1_spm/_subject_id_02/gunzip_func/mapflow/_gunzip_func0".
240705-06:56:51,825 nipype.workflow INFO:
[Node] Setting-up "_getsubjectinfo1" in "/storage/tmp/tmp7ql6rn7s/spm_analysis/level1_spm/_subject_id_01/getsubjectinfo/mapflow/_getsubjectinfo1".
240705-06:56:51,826 nipype.workflow INFO:
[Node] Setting-up "_getsubjectinfo0" in "/storage/tmp/tmp7ql6rn7s/spm_analysis/level1_spm/_subject_id_02/getsubjectinfo/mapflow/_getsubjectinfo0".
240705-06:56:51,826 nipype.workflow INFO:
[Node] Setting-up "_gunzip_func1" in "/storage/tmp/tmp7ql6rn7s/spm_analysis/level1_spm/_subject_id_02/gunzip_func/mapflow/_gunzip_func1".
240705-06:56:51,827 nipype.workflow INFO:
[Node] Setting-up "_gunzip_func0" in "/storage/tmp/tmp7ql6rn7s/spm_analysis/level1_spm/_subject_id_03/gunzip_func/mapflow/_gunzip_func0".
240705-06:56:51,828 nipype.workflow INFO:
[Node] Setting-up "_getsubjectinfo1" in "/storage/tmp/tmp7ql6rn7s/spm_analysis/level1_spm/_subject_id_03/getsubjectinfo/mapflow/_getsubjectinfo1".
240705-06:56:51,828 nipype.workflow INFO:
[Node] Setting-up "_getsubjectinfo0" in "/storage/tmp/tmp7ql6rn7s/spm_analysis/level1_spm/_subject_id_03/getsubjectinfo/mapflow/_getsubjectinfo0".
240705-06:56:51,828 nipype.workflow INFO:
[Node] Setting-up "_gunzip_func1" in "/storage/tmp/tmp7ql6rn7s/spm_analysis/level1_spm/_subject_id_03/gunzip_func/mapflow/_gunzip_func1".
240705-06:56:51,830 nipype.workflow INFO:
[Node] Setting-up "_gunzip_func0" in "/storage/tmp/tmp7ql6rn7s/spm_analysis/level1_spm/_subject_id_04/gunzip_func/mapflow/_gunzip_func0".
240705-06:56:51,833 nipype.workflow INFO:
[Node] Executing "_gunzip_func0" <nipype.algorithms.misc.Gunzip>
240705-06:56:51,832 nipype.workflow INFO:
[Node] Setting-up "_getsubjectinfo1" in "/storage/tmp/tmp7ql6rn7s/spm_analysis/level1_spm/_subject_id_04/getsubjectinfo/mapflow/_getsubjectinfo1".
240705-06:56:51,831 nipype.workflow INFO:
[Node] Setting-up "_gunzip_func1" in "/storage/tmp/tmp7ql6rn7s/spm_analysis/level1_spm/_subject_id_04/gunzip_func/mapflow/_gunzip_func1".
240705-06:56:51,836 nipype.workflow INFO:
[Node] Executing "_getsubjectinfo0" <nipype.interfaces.utility.wrappers.Function>
240705-06:56:51,836 nipype.workflow INFO:
[Node] Executing "_gunzip_func1" <nipype.algorithms.misc.Gunzip>
240705-06:56:51,833 nipype.workflow INFO:
[Node] Setting-up "_getsubjectinfo1" in "/storage/tmp/tmp7ql6rn7s/spm_analysis/level1_spm/_subject_id_05/getsubjectinfo/mapflow/_getsubjectinfo1".
240705-06:56:51,830 nipype.workflow INFO:
[Node] Setting-up "_getsubjectinfo0" in "/storage/tmp/tmp7ql6rn7s/spm_analysis/level1_spm/_subject_id_04/getsubjectinfo/mapflow/_getsubjectinfo0".
240705-06:56:51,839 nipype.workflow INFO:
[Node] Executing "_getsubjectinfo1" <nipype.interfaces.utility.wrappers.Function>
240705-06:56:51,834 nipype.workflow INFO:
[Node] Setting-up "_gunzip_func0" in "/storage/tmp/tmp7ql6rn7s/spm_analysis/level1_spm/_subject_id_05/gunzip_func/mapflow/_gunzip_func0".
240705-06:56:51,839 nipype.workflow INFO:
[Node] Executing "_getsubjectinfo1" <nipype.interfaces.utility.wrappers.Function>
240705-06:56:51,838 nipype.workflow INFO:
[Node] Executing "_gunzip_func0" <nipype.algorithms.misc.Gunzip>
240705-06:56:51,840 nipype.workflow INFO:
[Node] Setting-up "_getsubjectinfo1" in "/storage/tmp/tmp7ql6rn7s/spm_analysis/level1_spm/_subject_id_06/getsubjectinfo/mapflow/_getsubjectinfo1".
240705-06:56:51,839 nipype.workflow INFO:
[Node] Executing "_gunzip_func0" <nipype.algorithms.misc.Gunzip>
240705-06:56:51,838 nipype.workflow INFO:
[Node] Setting-up "_gunzip_func0" in "/storage/tmp/tmp7ql6rn7s/spm_analysis/level1_spm/_subject_id_06/gunzip_func/mapflow/_gunzip_func0".
240705-06:56:51,840 nipype.workflow INFO:
[Node] Executing "_gunzip_func1" <nipype.algorithms.misc.Gunzip>
240705-06:56:51,838 nipype.workflow INFO:
[Node] Setting-up "_gunzip_func1" in "/storage/tmp/tmp7ql6rn7s/spm_analysis/level1_spm/_subject_id_06/gunzip_func/mapflow/_gunzip_func1".
240705-06:56:51,844 nipype.workflow INFO:
[Node] Executing "_gunzip_func1" <nipype.algorithms.misc.Gunzip>
240705-06:56:51,845 nipype.workflow INFO:
[Node] Setting-up "_gunzip_func0" in "/storage/tmp/tmp7ql6rn7s/spm_analysis/level1_spm/_subject_id_07/gunzip_func/mapflow/_gunzip_func0".
240705-06:56:51,839 nipype.workflow INFO:
[Node] Setting-up "_getsubjectinfo0" in "/storage/tmp/tmp7ql6rn7s/spm_analysis/level1_spm/_subject_id_06/getsubjectinfo/mapflow/_getsubjectinfo0".
240705-06:56:51,848 nipype.workflow INFO:
[Node] Setting-up "_getsubjectinfo0" in "/storage/tmp/tmp7ql6rn7s/spm_analysis/level1_spm/_subject_id_07/getsubjectinfo/mapflow/_getsubjectinfo0".
240705-06:56:51,848 nipype.workflow INFO:
[Node] Setting-up "_gunzip_func1" in "/storage/tmp/tmp7ql6rn7s/spm_analysis/level1_spm/_subject_id_07/gunzip_func/mapflow/_gunzip_func1".
240705-06:56:51,848 nipype.workflow INFO:
[Node] Executing "_getsubjectinfo1" <nipype.interfaces.utility.wrappers.Function>
240705-06:56:51,850 nipype.workflow INFO:
[Node] Setting-up "_getsubjectinfo1" in "/storage/tmp/tmp7ql6rn7s/spm_analysis/level1_spm/_subject_id_07/getsubjectinfo/mapflow/_getsubjectinfo1".
240705-06:56:51,853 nipype.workflow INFO:
[Node] Setting-up "_gunzip_func1" in "/storage/tmp/tmp7ql6rn7s/spm_analysis/level1_spm/_subject_id_08/gunzip_func/mapflow/_gunzip_func1".
240705-06:56:51,853 nipype.workflow INFO:
[Node] Executing "_getsubjectinfo0" <nipype.interfaces.utility.wrappers.Function>
240705-06:56:51,853 nipype.workflow INFO:
[Node] Setting-up "_gunzip_func0" in "/storage/tmp/tmp7ql6rn7s/spm_analysis/level1_spm/_subject_id_08/gunzip_func/mapflow/_gunzip_func0".
240705-06:56:51,853 nipype.workflow INFO:
[Node] Executing "_gunzip_func0" <nipype.algorithms.misc.Gunzip>
240705-06:56:51,854 nipype.workflow INFO:
[Node] Executing "_gunzip_func0" <nipype.algorithms.misc.Gunzip>
240705-06:56:51,855 nipype.workflow INFO:
[Node] Executing "_gunzip_func1" <nipype.algorithms.misc.Gunzip>
240705-06:56:51,858 nipype.workflow INFO:
[Node] Executing "_getsubjectinfo1" <nipype.interfaces.utility.wrappers.Function>
240705-06:56:51,855 nipype.workflow INFO:
[Node] Setting-up "_getsubjectinfo0" in "/storage/tmp/tmp7ql6rn7s/spm_analysis/level1_spm/_subject_id_08/getsubjectinfo/mapflow/_getsubjectinfo0".
240705-06:56:51,859 nipype.workflow INFO:
[Node] Executing "_getsubjectinfo0" <nipype.interfaces.utility.wrappers.Function>
240705-06:56:51,855 nipype.workflow INFO:
[Node] Executing "_getsubjectinfo0" <nipype.interfaces.utility.wrappers.Function>
240705-06:56:51,850 nipype.workflow INFO:
[Node] Executing "_getsubjectinfo1" <nipype.interfaces.utility.wrappers.Function>
240705-06:56:51,866 nipype.workflow INFO:
[Node] Executing "_gunzip_func0" <nipype.algorithms.misc.Gunzip>
240705-06:56:51,862 nipype.workflow INFO:
[Node] Executing "_gunzip_func0" <nipype.algorithms.misc.Gunzip>
240705-06:56:51,857 nipype.workflow INFO:
[Node] Setting-up "_getsubjectinfo1" in "/storage/tmp/tmp7ql6rn7s/spm_analysis/level1_spm/_subject_id_08/getsubjectinfo/mapflow/_getsubjectinfo1".
240705-06:56:51,869 nipype.workflow INFO:
[Node] Executing "_getsubjectinfo1" <nipype.interfaces.utility.wrappers.Function>
240705-06:56:51,855 nipype.workflow INFO:
[Node] Executing "_getsubjectinfo0" <nipype.interfaces.utility.wrappers.Function>
240705-06:56:51,869 nipype.workflow INFO:
[Node] Executing "_gunzip_func1" <nipype.algorithms.misc.Gunzip>
240705-06:56:51,869 nipype.workflow INFO:
[Node] Executing "_gunzip_func0" <nipype.algorithms.misc.Gunzip>
240705-06:56:51,874 nipype.workflow INFO:
[Node] Executing "_getsubjectinfo1" <nipype.interfaces.utility.wrappers.Function>
240705-06:56:51,875 nipype.workflow INFO:
[Node] Executing "_getsubjectinfo0" <nipype.interfaces.utility.wrappers.Function>
240705-06:56:51,867 nipype.workflow INFO:
[Node] Executing "_gunzip_func1" <nipype.algorithms.misc.Gunzip>
240705-06:56:51,875 nipype.workflow INFO:
[Node] Executing "_getsubjectinfo1" <nipype.interfaces.utility.wrappers.Function>
240705-06:56:51,857 nipype.workflow INFO:
[Node] Executing "_gunzip_func1" <nipype.algorithms.misc.Gunzip>
240705-06:56:51,904 nipype.workflow INFO:
[Node] Executing "_getsubjectinfo0" <nipype.interfaces.utility.wrappers.Function>
240705-06:56:51,968 nipype.workflow INFO:
[Node] Finished "_getsubjectinfo0", elapsed time 0.122959s.
240705-06:56:51,970 nipype.workflow INFO:
[Node] Finished "_getsubjectinfo1", elapsed time 0.120337s.
240705-06:56:51,972 nipype.workflow INFO:
[Node] Finished "_getsubjectinfo1", elapsed time 0.098432s.
240705-06:56:51,976 nipype.workflow INFO:
[Node] Finished "_getsubjectinfo0", elapsed time 0.095056s.
240705-06:56:51,976 nipype.workflow INFO:
[Node] Finished "_getsubjectinfo1", elapsed time 0.104121s.
240705-06:56:51,970 nipype.workflow INFO:
[Node] Finished "_getsubjectinfo1", elapsed time 0.110978s.
240705-06:56:51,834 nipype.workflow INFO:
[Node] Setting-up "_gunzip_func1" in "/storage/tmp/tmp7ql6rn7s/spm_analysis/level1_spm/_subject_id_05/gunzip_func/mapflow/_gunzip_func1".
240705-06:56:51,990 nipype.workflow INFO:
[Node] Finished "_getsubjectinfo1", elapsed time 0.131315s.
240705-06:56:51,834 nipype.workflow INFO:
[Node] Setting-up "_getsubjectinfo0" in "/storage/tmp/tmp7ql6rn7s/spm_analysis/level1_spm/_subject_id_05/getsubjectinfo/mapflow/_getsubjectinfo0".
240705-06:56:52,2 nipype.workflow INFO:
[Node] Finished "_getsubjectinfo0", elapsed time 0.116618s.
240705-06:56:52,4 nipype.workflow INFO:
[Node] Finished "_getsubjectinfo0", elapsed time 0.1159s.
240705-06:56:52,22 nipype.workflow INFO:
[Node] Finished "_getsubjectinfo1", elapsed time 0.136281s.
240705-06:56:52,26 nipype.workflow INFO:
[Node] Finished "_getsubjectinfo1", elapsed time 0.136328s.
240705-06:56:52,28 nipype.workflow INFO:
[Node] Executing "_getsubjectinfo0" <nipype.interfaces.utility.wrappers.Function>
240705-06:56:52,27 nipype.workflow INFO:
[Node] Finished "_getsubjectinfo0", elapsed time 0.148685s.
240705-06:56:52,28 nipype.workflow INFO:
[Node] Finished "_getsubjectinfo0", elapsed time 0.150927s.
240705-06:56:52,28 nipype.workflow INFO:
[Node] Finished "_getsubjectinfo1", elapsed time 0.147281s.
240705-06:56:52,30 nipype.workflow INFO:
[Node] Executing "_gunzip_func1" <nipype.algorithms.misc.Gunzip>
240705-06:56:52,43 nipype.workflow INFO:
[Node] Finished "_getsubjectinfo0", elapsed time 0.116405s.
240705-06:56:52,99 nipype.workflow INFO:
[Node] Finished "_getsubjectinfo0", elapsed time 0.062012s.
240705-06:56:53,675 nipype.workflow INFO:
[Job 74] Completed (_getsubjectinfo0).
240705-06:56:53,678 nipype.workflow INFO:
[Job 75] Completed (_getsubjectinfo1).
240705-06:56:53,680 nipype.workflow INFO:
[Job 78] Completed (_getsubjectinfo0).
240705-06:56:53,681 nipype.workflow INFO:
[Job 79] Completed (_getsubjectinfo1).
240705-06:56:53,684 nipype.workflow INFO:
[Job 82] Completed (_getsubjectinfo0).
240705-06:56:53,686 nipype.workflow INFO:
[Job 83] Completed (_getsubjectinfo1).
240705-06:56:53,687 nipype.workflow INFO:
[Job 86] Completed (_getsubjectinfo0).
240705-06:56:53,689 nipype.workflow INFO:
[Job 87] Completed (_getsubjectinfo1).
240705-06:56:53,691 nipype.workflow INFO:
[Job 90] Completed (_getsubjectinfo0).
240705-06:56:53,692 nipype.workflow INFO:
[Job 91] Completed (_getsubjectinfo1).
240705-06:56:53,694 nipype.workflow INFO:
[Job 94] Completed (_getsubjectinfo0).
240705-06:56:53,695 nipype.workflow INFO:
[Job 95] Completed (_getsubjectinfo1).
240705-06:56:53,698 nipype.workflow INFO:
[Job 98] Completed (_getsubjectinfo0).
240705-06:56:53,699 nipype.workflow INFO:
[Job 99] Completed (_getsubjectinfo1).
240705-06:56:53,700 nipype.workflow INFO:
[Job 102] Completed (_getsubjectinfo0).
240705-06:56:53,702 nipype.workflow INFO:
[Job 103] Completed (_getsubjectinfo1).
240705-06:56:53,705 nipype.workflow INFO:
[MultiProc] Running 16 tasks, and 12 jobs ready. Free memory (GB): 110.02/113.22, Free processors: 16/32.
Currently running:
* _gunzip_func1
* _gunzip_func0
* _gunzip_func1
* _gunzip_func0
* _gunzip_func1
* _gunzip_func0
* _gunzip_func1
* _gunzip_func0
* _gunzip_func1
* _gunzip_func0
* _gunzip_func1
* _gunzip_func0
* _gunzip_func1
* _gunzip_func0
* _gunzip_func1
* _gunzip_func0
240705-06:56:53,956 nipype.workflow INFO:
[Node] Setting-up "_getsubjectinfo0" in "/storage/tmp/tmp7ql6rn7s/spm_analysis/level1_spm/_subject_id_01/getsubjectinfo/mapflow/_getsubjectinfo0".
240705-06:56:53,957 nipype.workflow INFO:
[Node] Setting-up "_gunzip_func0" in "/storage/tmp/tmp7ql6rn7s/spm_analysis/level1_spm/_subject_id_09/gunzip_func/mapflow/_gunzip_func0".
240705-06:56:53,959 nipype.workflow INFO:
[Node] Setting-up "_gunzip_func1" in "/storage/tmp/tmp7ql6rn7s/spm_analysis/level1_spm/_subject_id_09/gunzip_func/mapflow/_gunzip_func1".
240705-06:56:53,962 nipype.workflow INFO:
[Node] Setting-up "_getsubjectinfo0" in "/storage/tmp/tmp7ql6rn7s/spm_analysis/level1_spm/_subject_id_02/getsubjectinfo/mapflow/_getsubjectinfo0".
240705-06:56:53,963 nipype.workflow INFO:
[Node] Setting-up "_getsubjectinfo0" in "/storage/tmp/tmp7ql6rn7s/spm_analysis/level1_spm/_subject_id_03/getsubjectinfo/mapflow/_getsubjectinfo0".
240705-06:56:53,964 nipype.workflow INFO:
[Node] Setting-up "_getsubjectinfo0" in "/storage/tmp/tmp7ql6rn7s/spm_analysis/level1_spm/_subject_id_06/getsubjectinfo/mapflow/_getsubjectinfo0".
240705-06:56:53,964 nipype.workflow INFO:
[Node] Setting-up "_getsubjectinfo0" in "/storage/tmp/tmp7ql6rn7s/spm_analysis/level1_spm/_subject_id_05/getsubjectinfo/mapflow/_getsubjectinfo0".
240705-06:56:53,964 nipype.workflow INFO:
[Node] Cached "_getsubjectinfo0" - collecting precomputed outputs
240705-06:56:53,965 nipype.workflow INFO:
[Node] Executing "_gunzip_func0" <nipype.algorithms.misc.Gunzip>
240705-06:56:53,966 nipype.workflow INFO:
[Node] Setting-up "_getsubjectinfo0" in "/storage/tmp/tmp7ql6rn7s/spm_analysis/level1_spm/_subject_id_07/getsubjectinfo/mapflow/_getsubjectinfo0".
240705-06:56:53,966 nipype.workflow INFO:
[Node] Setting-up "_getsubjectinfo0" in "/storage/tmp/tmp7ql6rn7s/spm_analysis/level1_spm/_subject_id_04/getsubjectinfo/mapflow/_getsubjectinfo0".
240705-06:56:53,966 nipype.workflow INFO:
[Node] Setting-up "_getsubjectinfo0" in "/storage/tmp/tmp7ql6rn7s/spm_analysis/level1_spm/_subject_id_09/getsubjectinfo/mapflow/_getsubjectinfo0".
240705-06:56:53,966 nipype.workflow INFO:
[Node] Executing "_gunzip_func1" <nipype.algorithms.misc.Gunzip>
240705-06:56:53,968 nipype.workflow INFO:
[Node] Cached "_getsubjectinfo0" - collecting precomputed outputs
240705-06:56:53,968 nipype.workflow INFO:
[Node] Cached "_getsubjectinfo0" - collecting precomputed outputs
240705-06:56:53,970 nipype.workflow INFO:
[Node] Cached "_getsubjectinfo0" - collecting precomputed outputs
240705-06:56:53,970 nipype.workflow INFO:
[Node] "_getsubjectinfo0" found cached.
240705-06:56:53,970 nipype.workflow INFO:
[Node] Cached "_getsubjectinfo0" - collecting precomputed outputs
240705-06:56:53,971 nipype.workflow INFO:
[Node] "_getsubjectinfo0" found cached.
240705-06:56:53,971 nipype.workflow INFO:
[Node] "_getsubjectinfo0" found cached.
240705-06:56:53,972 nipype.workflow INFO:
[Node] Cached "_getsubjectinfo0" - collecting precomputed outputs
240705-06:56:53,973 nipype.workflow INFO:
[Node] Executing "_getsubjectinfo0" <nipype.interfaces.utility.wrappers.Function>
240705-06:56:53,973 nipype.workflow INFO:
[Node] "_getsubjectinfo0" found cached.
240705-06:56:53,973 nipype.workflow INFO:
[Node] Setting-up "_getsubjectinfo1" in "/storage/tmp/tmp7ql6rn7s/spm_analysis/level1_spm/_subject_id_09/getsubjectinfo/mapflow/_getsubjectinfo1".
240705-06:56:53,974 nipype.workflow INFO:
[Node] "_getsubjectinfo0" found cached.
240705-06:56:53,976 nipype.workflow INFO:
[Node] Setting-up "_getsubjectinfo1" in "/storage/tmp/tmp7ql6rn7s/spm_analysis/level1_spm/_subject_id_03/getsubjectinfo/mapflow/_getsubjectinfo1".
240705-06:56:53,977 nipype.workflow INFO:
[Node] Setting-up "_getsubjectinfo1" in "/storage/tmp/tmp7ql6rn7s/spm_analysis/level1_spm/_subject_id_05/getsubjectinfo/mapflow/_getsubjectinfo1".
240705-06:56:53,974 nipype.workflow INFO:
[Node] "_getsubjectinfo0" found cached.
240705-06:56:53,974 nipype.workflow INFO:
[Node] Setting-up "_getsubjectinfo1" in "/storage/tmp/tmp7ql6rn7s/spm_analysis/level1_spm/_subject_id_02/getsubjectinfo/mapflow/_getsubjectinfo1".
240705-06:56:53,978 nipype.workflow INFO:
[Node] Setting-up "_getsubjectinfo1" in "/storage/tmp/tmp7ql6rn7s/spm_analysis/level1_spm/_subject_id_06/getsubjectinfo/mapflow/_getsubjectinfo1".
240705-06:56:53,978 nipype.workflow INFO:
[Node] Setting-up "_getsubjectinfo1" in "/storage/tmp/tmp7ql6rn7s/spm_analysis/level1_spm/_subject_id_01/getsubjectinfo/mapflow/_getsubjectinfo1".
240705-06:56:53,974 nipype.workflow INFO:
[Node] Cached "_getsubjectinfo0" - collecting precomputed outputs
240705-06:56:53,981 nipype.workflow INFO:
[Node] Cached "_getsubjectinfo1" - collecting precomputed outputs
240705-06:56:53,981 nipype.workflow INFO:
[Node] Executing "_getsubjectinfo1" <nipype.interfaces.utility.wrappers.Function>
240705-06:56:53,981 nipype.workflow INFO:
[Node] Cached "_getsubjectinfo1" - collecting precomputed outputs
240705-06:56:53,966 nipype.workflow INFO:
[Node] Setting-up "_getsubjectinfo0" in "/storage/tmp/tmp7ql6rn7s/spm_analysis/level1_spm/_subject_id_08/getsubjectinfo/mapflow/_getsubjectinfo0".
240705-06:56:53,982 nipype.workflow INFO:
[Node] Cached "_getsubjectinfo1" - collecting precomputed outputs
240705-06:56:53,983 nipype.workflow INFO:
[Node] "_getsubjectinfo1" found cached.
240705-06:56:53,984 nipype.workflow INFO:
[Node] "_getsubjectinfo1" found cached.
240705-06:56:53,983 nipype.workflow INFO:
[Node] Cached "_getsubjectinfo1" - collecting precomputed outputs
240705-06:56:53,986 nipype.workflow INFO:
[Node] Setting-up "_getsubjectinfo1" in "/storage/tmp/tmp7ql6rn7s/spm_analysis/level1_spm/_subject_id_04/getsubjectinfo/mapflow/_getsubjectinfo1".
240705-06:56:53,983 nipype.workflow INFO:
[Node] Cached "_getsubjectinfo1" - collecting precomputed outputs
240705-06:56:53,986 nipype.workflow INFO:
[Node] "_getsubjectinfo1" found cached.
240705-06:56:53,990 nipype.workflow INFO:
[Node] Cached "_getsubjectinfo0" - collecting precomputed outputs
240705-06:56:53,991 nipype.workflow INFO:
[Node] Cached "_getsubjectinfo1" - collecting precomputed outputs
240705-06:56:53,993 nipype.workflow INFO:
[Node] "_getsubjectinfo0" found cached.
240705-06:56:53,996 nipype.workflow INFO:
[Node] "_getsubjectinfo0" found cached.
240705-06:56:53,993 nipype.workflow INFO:
[Node] "_getsubjectinfo1" found cached.
240705-06:56:53,988 nipype.workflow INFO:
[Node] "_getsubjectinfo1" found cached.
240705-06:56:53,997 nipype.workflow INFO:
[Node] Setting-up "_getsubjectinfo1" in "/storage/tmp/tmp7ql6rn7s/spm_analysis/level1_spm/_subject_id_08/getsubjectinfo/mapflow/_getsubjectinfo1".
240705-06:56:54,1 nipype.workflow INFO:
[Node] Cached "_getsubjectinfo1" - collecting precomputed outputs
240705-06:56:54,3 nipype.workflow INFO:
[Node] "_getsubjectinfo1" found cached.
240705-06:56:54,4 nipype.workflow INFO:
[Node] Setting-up "_getsubjectinfo1" in "/storage/tmp/tmp7ql6rn7s/spm_analysis/level1_spm/_subject_id_07/getsubjectinfo/mapflow/_getsubjectinfo1".
240705-06:56:54,6 nipype.workflow INFO:
[Node] Finished "_getsubjectinfo0", elapsed time 0.029965s.
240705-06:56:54,9 nipype.workflow INFO:
[Node] Cached "_getsubjectinfo1" - collecting precomputed outputs
240705-06:56:54,9 nipype.workflow INFO:
[Node] "_getsubjectinfo1" found cached.
240705-06:56:54,12 nipype.workflow INFO:
[Node] "_getsubjectinfo1" found cached.
240705-06:56:54,13 nipype.workflow INFO:
[Node] Finished "_getsubjectinfo1", elapsed time 0.027591s.
240705-06:56:55,676 nipype.workflow INFO:
[Job 10] Completed (level1_spm.getsubjectinfo).
240705-06:56:55,680 nipype.workflow INFO:
[Job 12] Completed (level1_spm.getsubjectinfo).
240705-06:56:55,682 nipype.workflow INFO:
[Job 14] Completed (level1_spm.getsubjectinfo).
240705-06:56:55,685 nipype.workflow INFO:
[Job 16] Completed (level1_spm.getsubjectinfo).
240705-06:56:55,687 nipype.workflow INFO:
[Job 18] Completed (level1_spm.getsubjectinfo).
240705-06:56:55,688 nipype.workflow INFO:
[Job 20] Completed (level1_spm.getsubjectinfo).
240705-06:56:55,690 nipype.workflow INFO:
[Job 22] Completed (level1_spm.getsubjectinfo).
240705-06:56:55,693 nipype.workflow INFO:
[Job 24] Completed (level1_spm.getsubjectinfo).
240705-06:56:55,695 nipype.workflow INFO:
[Job 106] Completed (_getsubjectinfo0).
240705-06:56:55,696 nipype.workflow INFO:
[Job 107] Completed (_getsubjectinfo1).
240705-06:56:55,699 nipype.workflow INFO:
[MultiProc] Running 18 tasks, and 1 jobs ready. Free memory (GB): 109.62/113.22, Free processors: 14/32.
Currently running:
* _gunzip_func1
* _gunzip_func0
* _gunzip_func1
* _gunzip_func0
* _gunzip_func1
* _gunzip_func0
* _gunzip_func1
* _gunzip_func0
* _gunzip_func1
* _gunzip_func0
* _gunzip_func1
* _gunzip_func0
* _gunzip_func1
* _gunzip_func0
* _gunzip_func1
* _gunzip_func0
* _gunzip_func1
* _gunzip_func0
240705-06:56:55,851 nipype.workflow INFO:
[Node] Setting-up "_getsubjectinfo0" in "/storage/tmp/tmp7ql6rn7s/spm_analysis/level1_spm/_subject_id_09/getsubjectinfo/mapflow/_getsubjectinfo0".
240705-06:56:55,857 nipype.workflow INFO:
[Node] Cached "_getsubjectinfo0" - collecting precomputed outputs
240705-06:56:55,860 nipype.workflow INFO:
[Node] "_getsubjectinfo0" found cached.
240705-06:56:55,864 nipype.workflow INFO:
[Node] Setting-up "_getsubjectinfo1" in "/storage/tmp/tmp7ql6rn7s/spm_analysis/level1_spm/_subject_id_09/getsubjectinfo/mapflow/_getsubjectinfo1".
240705-06:56:55,868 nipype.workflow INFO:
[Node] Cached "_getsubjectinfo1" - collecting precomputed outputs
240705-06:56:55,870 nipype.workflow INFO:
[Node] "_getsubjectinfo1" found cached.
240705-06:56:57,508 nipype.workflow INFO:
[Node] Finished "_gunzip_func0", elapsed time 5.62745s.
240705-06:56:57,678 nipype.workflow INFO:
[Job 100] Completed (_gunzip_func0).
240705-06:56:57,680 nipype.workflow INFO:
[Job 26] Completed (level1_spm.getsubjectinfo).
240705-06:56:57,684 nipype.workflow INFO:
[MultiProc] Running 17 tasks, and 0 jobs ready. Free memory (GB): 109.82/113.22, Free processors: 15/32.
Currently running:
* _gunzip_func1
* _gunzip_func0
* _gunzip_func1
* _gunzip_func1
* _gunzip_func0
* _gunzip_func1
* _gunzip_func0
* _gunzip_func1
* _gunzip_func0
* _gunzip_func1
* _gunzip_func0
* _gunzip_func1
* _gunzip_func0
* _gunzip_func1
* _gunzip_func0
* _gunzip_func1
* _gunzip_func0
240705-06:57:01,167 nipype.workflow INFO:
[Node] Finished "_gunzip_func1", elapsed time 9.297134s.
240705-06:57:01,287 nipype.workflow INFO:
[Node] Finished "_gunzip_func0", elapsed time 9.406137s.
240705-06:57:01,417 nipype.workflow INFO:
[Node] Finished "_gunzip_func0", elapsed time 9.563481s.
240705-06:57:01,683 nipype.workflow INFO:
[Job 80] Completed (_gunzip_func0).
240705-06:57:01,685 nipype.workflow INFO:
[Job 92] Completed (_gunzip_func0).
240705-06:57:01,687 nipype.workflow INFO:
[Job 97] Completed (_gunzip_func1).
240705-06:57:01,689 nipype.workflow INFO:
[MultiProc] Running 14 tasks, and 0 jobs ready. Free memory (GB): 110.42/113.22, Free processors: 18/32.
Currently running:
* _gunzip_func1
* _gunzip_func0
* _gunzip_func1
* _gunzip_func0
* _gunzip_func1
* _gunzip_func1
* _gunzip_func0
* _gunzip_func1
* _gunzip_func0
* _gunzip_func1
* _gunzip_func1
* _gunzip_func0
* _gunzip_func1
* _gunzip_func0
240705-06:57:01,722 nipype.workflow INFO:
[Node] Finished "_gunzip_func1", elapsed time 9.823794s.
240705-06:57:01,942 nipype.workflow INFO:
[Node] Finished "_gunzip_func1", elapsed time 10.078593s.
240705-06:57:02,43 nipype.workflow INFO:
[Node] Finished "_gunzip_func1", elapsed time 10.180245s.
240705-06:57:02,80 nipype.workflow INFO:
[Node] Finished "_gunzip_func0", elapsed time 10.202945s.
240705-06:57:02,108 nipype.workflow INFO:
[Node] Finished "_gunzip_func0", elapsed time 10.178092s.
240705-06:57:02,133 nipype.workflow INFO:
[Node] Finished "_gunzip_func0", elapsed time 10.27918s.
240705-06:57:02,229 nipype.workflow INFO:
[Node] Finished "_gunzip_func0", elapsed time 10.359988s.
240705-06:57:02,292 nipype.workflow INFO:
[Node] Finished "_gunzip_func1", elapsed time 10.370946s.
240705-06:57:02,505 nipype.workflow INFO:
[Node] Finished "_gunzip_func1", elapsed time 10.623878s.
240705-06:57:02,607 nipype.workflow INFO:
[Node] Finished "_gunzip_func0", elapsed time 10.76331s.
240705-06:57:03,25 nipype.workflow INFO:
[Node] Finished "_gunzip_func1", elapsed time 11.178769s.
240705-06:57:03,448 nipype.workflow INFO:
[Node] Finished "_gunzip_func1", elapsed time 11.41088s.
240705-06:57:03,685 nipype.workflow INFO:
[Job 72] Completed (_gunzip_func0).
240705-06:57:03,687 nipype.workflow INFO:
[Job 73] Completed (_gunzip_func1).
240705-06:57:03,689 nipype.workflow INFO:
[Job 76] Completed (_gunzip_func0).
240705-06:57:03,691 nipype.workflow INFO:
[Job 77] Completed (_gunzip_func1).
240705-06:57:03,692 nipype.workflow INFO:
[Job 81] Completed (_gunzip_func1).
240705-06:57:03,694 nipype.workflow INFO:
[Job 84] Completed (_gunzip_func0).
240705-06:57:03,695 nipype.workflow INFO:
[Job 85] Completed (_gunzip_func1).
240705-06:57:03,696 nipype.workflow INFO:
[Job 88] Completed (_gunzip_func0).
240705-06:57:03,700 nipype.workflow INFO:
[Job 89] Completed (_gunzip_func1).
240705-06:57:03,702 nipype.workflow INFO:
[Job 93] Completed (_gunzip_func1).
240705-06:57:03,704 nipype.workflow INFO:
[Job 96] Completed (_gunzip_func0).
240705-06:57:03,706 nipype.workflow INFO:
[Job 101] Completed (_gunzip_func1).
240705-06:57:03,708 nipype.workflow INFO:
[MultiProc] Running 2 tasks, and 8 jobs ready. Free memory (GB): 112.82/113.22, Free processors: 30/32.
Currently running:
* _gunzip_func1
* _gunzip_func0
240705-06:57:03,757 nipype.workflow INFO:
[Node] Finished "_gunzip_func0", elapsed time 9.78654s.
240705-06:57:03,826 nipype.workflow INFO:
[Node] Finished "_gunzip_func1", elapsed time 9.853513s.
240705-06:57:03,935 nipype.workflow INFO:
[Node] Setting-up "_gunzip_func0" in "/storage/tmp/tmp7ql6rn7s/spm_analysis/level1_spm/_subject_id_08/gunzip_func/mapflow/_gunzip_func0".
240705-06:57:03,935 nipype.workflow INFO:
[Node] Setting-up "_gunzip_func0" in "/storage/tmp/tmp7ql6rn7s/spm_analysis/level1_spm/_subject_id_06/gunzip_func/mapflow/_gunzip_func0".
240705-06:57:03,935 nipype.workflow INFO:
[Node] Setting-up "_gunzip_func0" in "/storage/tmp/tmp7ql6rn7s/spm_analysis/level1_spm/_subject_id_07/gunzip_func/mapflow/_gunzip_func0".
240705-06:57:03,935 nipype.workflow INFO:
[Node] Setting-up "_gunzip_func0" in "/storage/tmp/tmp7ql6rn7s/spm_analysis/level1_spm/_subject_id_05/gunzip_func/mapflow/_gunzip_func0".
240705-06:57:03,936 nipype.workflow INFO:
[Node] Setting-up "_gunzip_func0" in "/storage/tmp/tmp7ql6rn7s/spm_analysis/level1_spm/_subject_id_02/gunzip_func/mapflow/_gunzip_func0".
240705-06:57:03,936 nipype.workflow INFO:
[Node] Setting-up "_gunzip_func0" in "/storage/tmp/tmp7ql6rn7s/spm_analysis/level1_spm/_subject_id_01/gunzip_func/mapflow/_gunzip_func0".
240705-06:57:03,935 nipype.workflow INFO:
[Node] Setting-up "_gunzip_func0" in "/storage/tmp/tmp7ql6rn7s/spm_analysis/level1_spm/_subject_id_04/gunzip_func/mapflow/_gunzip_func0".
240705-06:57:03,936 nipype.workflow INFO:
[Node] Setting-up "_gunzip_func0" in "/storage/tmp/tmp7ql6rn7s/spm_analysis/level1_spm/_subject_id_03/gunzip_func/mapflow/_gunzip_func0".
240705-06:57:03,940 nipype.workflow INFO:
[Node] Cached "_gunzip_func0" - collecting precomputed outputs
240705-06:57:03,940 nipype.workflow INFO:
[Node] Cached "_gunzip_func0" - collecting precomputed outputs
240705-06:57:03,941 nipype.workflow INFO:
[Node] Cached "_gunzip_func0" - collecting precomputed outputs
240705-06:57:03,941 nipype.workflow INFO:
[Node] Cached "_gunzip_func0" - collecting precomputed outputs
240705-06:57:03,942 nipype.workflow INFO:
[Node] Cached "_gunzip_func0" - collecting precomputed outputs
240705-06:57:03,943 nipype.workflow INFO:
[Node] "_gunzip_func0" found cached.
240705-06:57:03,943 nipype.workflow INFO:
[Node] "_gunzip_func0" found cached.
240705-06:57:03,943 nipype.workflow INFO:
[Node] Cached "_gunzip_func0" - collecting precomputed outputs
240705-06:57:03,944 nipype.workflow INFO:
[Node] "_gunzip_func0" found cached.
240705-06:57:03,943 nipype.workflow INFO:
[Node] Cached "_gunzip_func0" - collecting precomputed outputs
240705-06:57:03,944 nipype.workflow INFO:
[Node] "_gunzip_func0" found cached.
240705-06:57:03,945 nipype.workflow INFO:
[Node] "_gunzip_func0" found cached.
240705-06:57:03,944 nipype.workflow INFO:
[Node] Cached "_gunzip_func0" - collecting precomputed outputs
240705-06:57:03,946 nipype.workflow INFO:
[Node] "_gunzip_func0" found cached.
240705-06:57:03,946 nipype.workflow INFO:
[Node] Setting-up "_gunzip_func1" in "/storage/tmp/tmp7ql6rn7s/spm_analysis/level1_spm/_subject_id_06/gunzip_func/mapflow/_gunzip_func1".
240705-06:57:03,947 nipype.workflow INFO:
[Node] Setting-up "_gunzip_func1" in "/storage/tmp/tmp7ql6rn7s/spm_analysis/level1_spm/_subject_id_08/gunzip_func/mapflow/_gunzip_func1".
240705-06:57:03,947 nipype.workflow INFO:
[Node] "_gunzip_func0" found cached.
240705-06:57:03,948 nipype.workflow INFO:
[Node] Setting-up "_gunzip_func1" in "/storage/tmp/tmp7ql6rn7s/spm_analysis/level1_spm/_subject_id_05/gunzip_func/mapflow/_gunzip_func1".
240705-06:57:03,948 nipype.workflow INFO:
[Node] "_gunzip_func0" found cached.
240705-06:57:03,948 nipype.workflow INFO:
[Node] Setting-up "_gunzip_func1" in "/storage/tmp/tmp7ql6rn7s/spm_analysis/level1_spm/_subject_id_07/gunzip_func/mapflow/_gunzip_func1".
240705-06:57:03,949 nipype.workflow INFO:
[Node] Setting-up "_gunzip_func1" in "/storage/tmp/tmp7ql6rn7s/spm_analysis/level1_spm/_subject_id_03/gunzip_func/mapflow/_gunzip_func1".
240705-06:57:03,949 nipype.workflow INFO:
[Node] Setting-up "_gunzip_func1" in "/storage/tmp/tmp7ql6rn7s/spm_analysis/level1_spm/_subject_id_01/gunzip_func/mapflow/_gunzip_func1".
240705-06:57:03,951 nipype.workflow INFO:
[Node] Cached "_gunzip_func1" - collecting precomputed outputs
240705-06:57:03,950 nipype.workflow INFO:
[Node] Cached "_gunzip_func1" - collecting precomputed outputs
240705-06:57:03,951 nipype.workflow INFO:
[Node] Setting-up "_gunzip_func1" in "/storage/tmp/tmp7ql6rn7s/spm_analysis/level1_spm/_subject_id_04/gunzip_func/mapflow/_gunzip_func1".
240705-06:57:03,951 nipype.workflow INFO:
[Node] Cached "_gunzip_func1" - collecting precomputed outputs
240705-06:57:03,952 nipype.workflow INFO:
[Node] "_gunzip_func1" found cached.
240705-06:57:03,953 nipype.workflow INFO:
[Node] Cached "_gunzip_func1" - collecting precomputed outputs
240705-06:57:03,953 nipype.workflow INFO:
[Node] Cached "_gunzip_func1" - collecting precomputed outputs
240705-06:57:03,953 nipype.workflow INFO:
[Node] Setting-up "_gunzip_func1" in "/storage/tmp/tmp7ql6rn7s/spm_analysis/level1_spm/_subject_id_02/gunzip_func/mapflow/_gunzip_func1".
240705-06:57:03,954 nipype.workflow INFO:
[Node] "_gunzip_func1" found cached.
240705-06:57:03,953 nipype.workflow INFO:
[Node] "_gunzip_func1" found cached.
240705-06:57:03,956 nipype.workflow INFO:
[Node] "_gunzip_func1" found cached.
240705-06:57:03,955 nipype.workflow INFO:
[Node] Cached "_gunzip_func1" - collecting precomputed outputs
240705-06:57:03,954 nipype.workflow INFO:
[Node] Cached "_gunzip_func1" - collecting precomputed outputs
240705-06:57:03,957 nipype.workflow INFO:
[Node] "_gunzip_func1" found cached.
240705-06:57:03,958 nipype.workflow INFO:
[Node] Cached "_gunzip_func1" - collecting precomputed outputs
240705-06:57:03,958 nipype.workflow INFO:
[Node] "_gunzip_func1" found cached.
240705-06:57:03,960 nipype.workflow INFO:
[Node] "_gunzip_func1" found cached.
240705-06:57:03,959 nipype.workflow INFO:
[Node] "_gunzip_func1" found cached.
240705-06:57:05,688 nipype.workflow INFO:
[Job 104] Completed (_gunzip_func0).
240705-06:57:05,692 nipype.workflow INFO:
[Job 105] Completed (_gunzip_func1).
240705-06:57:05,693 nipype.workflow INFO:
[Job 9] Completed (level1_spm.gunzip_func).
240705-06:57:05,696 nipype.workflow INFO:
[Job 11] Completed (level1_spm.gunzip_func).
240705-06:57:05,698 nipype.workflow INFO:
[Job 13] Completed (level1_spm.gunzip_func).
240705-06:57:05,700 nipype.workflow INFO:
[Job 15] Completed (level1_spm.gunzip_func).
240705-06:57:05,703 nipype.workflow INFO:
[Job 17] Completed (level1_spm.gunzip_func).
240705-06:57:05,705 nipype.workflow INFO:
[Job 19] Completed (level1_spm.gunzip_func).
240705-06:57:05,707 nipype.workflow INFO:
[Job 21] Completed (level1_spm.gunzip_func).
240705-06:57:05,709 nipype.workflow INFO:
[Job 23] Completed (level1_spm.gunzip_func).
240705-06:57:05,712 nipype.workflow INFO:
[MultiProc] Running 0 tasks, and 9 jobs ready. Free memory (GB): 113.22/113.22, Free processors: 32/32.
240705-06:57:05,990 nipype.workflow INFO:
[Node] Setting-up "level1_spm.modelspec" in "/storage/tmp/tmp7ql6rn7s/spm_analysis/level1_spm/_subject_id_04/modelspec".
240705-06:57:05,990 nipype.workflow INFO:
[Node] Setting-up "level1_spm.modelspec" in "/storage/tmp/tmp7ql6rn7s/spm_analysis/level1_spm/_subject_id_03/modelspec".
240705-06:57:05,990 nipype.workflow INFO:
[Node] Setting-up "level1_spm.modelspec" in "/storage/tmp/tmp7ql6rn7s/spm_analysis/level1_spm/_subject_id_02/modelspec".
240705-06:57:05,990 nipype.workflow INFO:
[Node] Setting-up "level1_spm.modelspec" in "/storage/tmp/tmp7ql6rn7s/spm_analysis/level1_spm/_subject_id_01/modelspec".
240705-06:57:05,992 nipype.workflow INFO:
[Node] Setting-up "level1_spm.modelspec" in "/storage/tmp/tmp7ql6rn7s/spm_analysis/level1_spm/_subject_id_06/modelspec".
240705-06:57:05,994 nipype.workflow INFO:
[Node] Setting-up "level1_spm.modelspec" in "/storage/tmp/tmp7ql6rn7s/spm_analysis/level1_spm/_subject_id_07/modelspec".
240705-06:57:05,994 nipype.workflow INFO:
[Node] Setting-up "level1_spm.modelspec" in "/storage/tmp/tmp7ql6rn7s/spm_analysis/level1_spm/_subject_id_08/modelspec".
240705-06:57:05,991 nipype.workflow INFO:
[Node] Setting-up "level1_spm.modelspec" in "/storage/tmp/tmp7ql6rn7s/spm_analysis/level1_spm/_subject_id_05/modelspec".
240705-06:57:06,32 nipype.workflow INFO:
[Node] Setting-up "_gunzip_func0" in "/storage/tmp/tmp7ql6rn7s/spm_analysis/level1_spm/_subject_id_09/gunzip_func/mapflow/_gunzip_func0".
240705-06:57:06,35 nipype.workflow INFO:
[Node] Executing "modelspec" <nipype.algorithms.modelgen.SpecifySPMModel>
240705-06:57:06,35 nipype.workflow INFO:
[Node] Executing "modelspec" <nipype.algorithms.modelgen.SpecifySPMModel>
240705-06:57:06,35 nipype.workflow INFO:
[Node] Executing "modelspec" <nipype.algorithms.modelgen.SpecifySPMModel>
240705-06:57:06,35 nipype.workflow INFO:
[Node] Executing "modelspec" <nipype.algorithms.modelgen.SpecifySPMModel>
240705-06:57:06,35 nipype.workflow INFO:
[Node] Executing "modelspec" <nipype.algorithms.modelgen.SpecifySPMModel>
240705-06:57:06,35 nipype.workflow INFO:
[Node] Executing "modelspec" <nipype.algorithms.modelgen.SpecifySPMModel>
240705-06:57:06,36 nipype.workflow INFO:
[Node] Executing "modelspec" <nipype.algorithms.modelgen.SpecifySPMModel>
240705-06:57:06,37 nipype.workflow INFO:
[Node] Executing "modelspec" <nipype.algorithms.modelgen.SpecifySPMModel>
240705-06:57:06,38 nipype.workflow INFO:
[Node] Cached "_gunzip_func0" - collecting precomputed outputs
240705-06:57:06,41 nipype.workflow INFO:
[Node] "_gunzip_func0" found cached.
240705-06:57:06,45 nipype.workflow INFO:
[Node] Setting-up "_gunzip_func1" in "/storage/tmp/tmp7ql6rn7s/spm_analysis/level1_spm/_subject_id_09/gunzip_func/mapflow/_gunzip_func1".
240705-06:57:06,48 nipype.workflow INFO:
[Node] Cached "_gunzip_func1" - collecting precomputed outputs
240705-06:57:06,50 nipype.workflow INFO:
[Node] "_gunzip_func1" found cached.
240705-06:57:06,53 nipype.workflow INFO:
[Node] Finished "modelspec", elapsed time 0.011915s.
240705-06:57:06,53 nipype.workflow INFO:
[Node] Finished "modelspec", elapsed time 0.012588s.
240705-06:57:06,54 nipype.workflow INFO:
[Node] Finished "modelspec", elapsed time 0.013227s.
240705-06:57:06,55 nipype.workflow INFO:
[Node] Finished "modelspec", elapsed time 0.01458s.
240705-06:57:06,55 nipype.workflow INFO:
[Node] Finished "modelspec", elapsed time 0.013738s.
240705-06:57:06,55 nipype.workflow INFO:
[Node] Finished "modelspec", elapsed time 0.015856s.
240705-06:57:06,56 nipype.workflow INFO:
[Node] Finished "modelspec", elapsed time 0.01592s.
240705-06:57:06,65 nipype.workflow INFO:
[Node] Finished "modelspec", elapsed time 0.022473s.
240705-06:57:07,690 nipype.workflow INFO:
[Job 25] Completed (level1_spm.gunzip_func).
240705-06:57:07,694 nipype.workflow INFO:
[Job 27] Completed (level1_spm.modelspec).
240705-06:57:07,697 nipype.workflow INFO:
[Job 28] Completed (level1_spm.modelspec).
240705-06:57:07,699 nipype.workflow INFO:
[Job 29] Completed (level1_spm.modelspec).
240705-06:57:07,701 nipype.workflow INFO:
[Job 30] Completed (level1_spm.modelspec).
240705-06:57:07,703 nipype.workflow INFO:
[Job 31] Completed (level1_spm.modelspec).
240705-06:57:07,706 nipype.workflow INFO:
[Job 32] Completed (level1_spm.modelspec).
240705-06:57:07,708 nipype.workflow INFO:
[Job 33] Completed (level1_spm.modelspec).
240705-06:57:07,710 nipype.workflow INFO:
[Job 34] Completed (level1_spm.modelspec).
240705-06:57:07,714 nipype.workflow INFO:
[MultiProc] Running 0 tasks, and 9 jobs ready. Free memory (GB): 113.22/113.22, Free processors: 32/32.
240705-06:57:07,915 nipype.workflow INFO:
[Node] Setting-up "level1_spm.modelspec" in "/storage/tmp/tmp7ql6rn7s/spm_analysis/level1_spm/_subject_id_09/modelspec".
240705-06:57:07,922 nipype.workflow INFO:
[Node] Setting-up "level1_spm.level1design" in "/storage/tmp/tmp7ql6rn7s/spm_analysis/level1_spm/_subject_id_01/level1design".
240705-06:57:07,923 nipype.workflow INFO:
[Node] Setting-up "level1_spm.level1design" in "/storage/tmp/tmp7ql6rn7s/spm_analysis/level1_spm/_subject_id_03/level1design".
240705-06:57:07,923 nipype.workflow INFO:
[Node] Setting-up "level1_spm.level1design" in "/storage/tmp/tmp7ql6rn7s/spm_analysis/level1_spm/_subject_id_02/level1design".
240705-06:57:07,929 nipype.workflow INFO:
[Node] Setting-up "level1_spm.level1design" in "/storage/tmp/tmp7ql6rn7s/spm_analysis/level1_spm/_subject_id_04/level1design".
240705-06:57:07,929 nipype.workflow INFO:
[Node] Setting-up "level1_spm.level1design" in "/storage/tmp/tmp7ql6rn7s/spm_analysis/level1_spm/_subject_id_05/level1design".
240705-06:57:07,930 nipype.workflow INFO:
[Node] Setting-up "level1_spm.level1design" in "/storage/tmp/tmp7ql6rn7s/spm_analysis/level1_spm/_subject_id_06/level1design".
240705-06:57:07,931 nipype.workflow INFO:
[Node] Setting-up "level1_spm.level1design" in "/storage/tmp/tmp7ql6rn7s/spm_analysis/level1_spm/_subject_id_07/level1design".
240705-06:57:07,932 nipype.workflow INFO:
[Node] Setting-up "level1_spm.level1design" in "/storage/tmp/tmp7ql6rn7s/spm_analysis/level1_spm/_subject_id_08/level1design".
240705-06:57:07,955 nipype.workflow INFO:
[Node] Executing "modelspec" <nipype.algorithms.modelgen.SpecifySPMModel>
240705-06:57:07,960 nipype.workflow INFO:
[Node] Executing "level1design" <nipype.interfaces.spm.model.Level1Design>
240705-06:57:07,962 nipype.workflow INFO:
[Node] Executing "level1design" <nipype.interfaces.spm.model.Level1Design>
240705-06:57:07,966 nipype.workflow INFO:
[Node] Executing "level1design" <nipype.interfaces.spm.model.Level1Design>
240705-06:57:07,967 nipype.workflow INFO:
[Node] Executing "level1design" <nipype.interfaces.spm.model.Level1Design>
240705-06:57:07,968 nipype.workflow INFO:
[Node] Executing "level1design" <nipype.interfaces.spm.model.Level1Design>
240705-06:57:07,970 nipype.workflow INFO:
[Node] Executing "level1design" <nipype.interfaces.spm.model.Level1Design>
240705-06:57:07,970 nipype.workflow INFO:
[Node] Executing "level1design" <nipype.interfaces.spm.model.Level1Design>
240705-06:57:07,971 nipype.workflow INFO:
[Node] Executing "level1design" <nipype.interfaces.spm.model.Level1Design>
240705-06:57:07,977 nipype.workflow INFO:
[Node] Finished "modelspec", elapsed time 0.016709s.
240705-06:57:09,693 nipype.workflow INFO:
[Job 35] Completed (level1_spm.modelspec).
240705-06:57:09,698 nipype.workflow INFO:
[MultiProc] Running 8 tasks, and 1 jobs ready. Free memory (GB): 111.62/113.22, Free processors: 24/32.
Currently running:
* level1_spm.level1design
* level1_spm.level1design
* level1_spm.level1design
* level1_spm.level1design
* level1_spm.level1design
* level1_spm.level1design
* level1_spm.level1design
* level1_spm.level1design
240705-06:57:09,968 nipype.workflow INFO:
[Node] Setting-up "level1_spm.level1design" in "/storage/tmp/tmp7ql6rn7s/spm_analysis/level1_spm/_subject_id_09/level1design".
240705-06:57:10,7 nipype.workflow INFO:
[Node] Executing "level1design" <nipype.interfaces.spm.model.Level1Design>
240705-06:57:11,697 nipype.workflow INFO:
[MultiProc] Running 9 tasks, and 0 jobs ready. Free memory (GB): 111.42/113.22, Free processors: 23/32.
Currently running:
* level1_spm.level1design
* level1_spm.level1design
* level1_spm.level1design
* level1_spm.level1design
* level1_spm.level1design
* level1_spm.level1design
* level1_spm.level1design
* level1_spm.level1design
* level1_spm.level1design
240705-06:57:35,592 nipype.workflow INFO:
[Node] Finished "level1design", elapsed time 27.615856s.
240705-06:57:35,596 nipype.workflow WARNING:
Storing result file without outputs
240705-06:57:35,604 nipype.workflow WARNING:
[Node] Error on "level1_spm.level1design" (/storage/tmp/tmp7ql6rn7s/spm_analysis/level1_spm/_subject_id_04/level1design)
240705-06:57:35,668 nipype.workflow INFO:
[Node] Finished "level1design", elapsed time 27.693878s.
240705-06:57:35,671 nipype.workflow WARNING:
Storing result file without outputs
240705-06:57:35,677 nipype.workflow WARNING:
[Node] Error on "level1_spm.level1design" (/storage/tmp/tmp7ql6rn7s/spm_analysis/level1_spm/_subject_id_07/level1design)
240705-06:57:35,700 nipype.workflow INFO:
[Node] Finished "level1design", elapsed time 27.732842s.
240705-06:57:35,703 nipype.workflow WARNING:
Storing result file without outputs
240705-06:57:35,709 nipype.workflow WARNING:
[Node] Error on "level1_spm.level1design" (/storage/tmp/tmp7ql6rn7s/spm_analysis/level1_spm/_subject_id_02/level1design)
240705-06:57:35,718 nipype.workflow INFO:
[Node] Finished "level1design", elapsed time 27.742623000000002s.
240705-06:57:35,720 nipype.workflow WARNING:
Storing result file without outputs
240705-06:57:35,723 nipype.workflow ERROR:
Node level1design.a1 failed to run on host github-action-runner.
240705-06:57:35,725 nipype.workflow ERROR:
Saving crash info to /storage/tmp/tmp7ql6rn7s/crash-20240705-065735-ubuntu-level1design.a1-a29aa20e-0c5f-45b7-85ab-bf1d84765045.txt
Traceback (most recent call last):
File "/home/ubuntu/.local/lib/python3.10/site-packages/nipype/pipeline/plugins/multiproc.py", line 67, in run_node
result["result"] = node.run(updatehash=updatehash)
File "/home/ubuntu/.local/lib/python3.10/site-packages/nipype/pipeline/engine/nodes.py", line 527, in run
result = self._run_interface(execute=True)
File "/home/ubuntu/.local/lib/python3.10/site-packages/nipype/pipeline/engine/nodes.py", line 645, in _run_interface
return self._run_command(execute)
File "/home/ubuntu/.local/lib/python3.10/site-packages/nipype/pipeline/engine/nodes.py", line 771, in _run_command
raise NodeExecutionError(msg)
nipype.pipeline.engine.nodes.NodeExecutionError: Exception raised while executing Node level1design.
Traceback:
Traceback (most recent call last):
File "/home/ubuntu/.local/lib/python3.10/site-packages/nipype/interfaces/base/core.py", line 397, in run
runtime = self._run_interface(runtime)
File "/home/ubuntu/.local/lib/python3.10/site-packages/nipype/interfaces/spm/base.py", line 386, in _run_interface
results = self.mlab.run()
File "/home/ubuntu/.local/lib/python3.10/site-packages/nipype/interfaces/base/core.py", line 397, in run
runtime = self._run_interface(runtime)
File "/home/ubuntu/.local/lib/python3.10/site-packages/nipype/interfaces/matlab.py", line 164, in _run_interface
self.raise_exception(runtime)
File "/home/ubuntu/.local/lib/python3.10/site-packages/nipype/interfaces/base/core.py", line 685, in raise_exception
raise RuntimeError(
RuntimeError: Command:
run_spm12.sh /opt/mcr/v97/ script /storage/tmp/tmp7ql6rn7s/spm_analysis/level1_spm/_subject_id_02/level1design/pyscript_level1design.m
Standard output:
------------------------------------------
Setting up environment variables
---
LD_LIBRARY_PATH is .:/opt/mcr/v97//runtime/glnxa64:/opt/mcr/v97//bin/glnxa64:/opt/mcr/v97//sys/os/glnxa64:/opt/mcr/v97//sys/opengl/lib/glnxa64
SPM12, version 7771 (standalone)
MATLAB, version 9.7.0.1737446 (R2019b) Update 9
___ ____ __ __
/ __)( _ \( \/ )
\__ \ )___/ ) ( Statistical Parametric Mapping
(___/(__) (_/\/\_) SPM12 - https://www.fil.ion.ucl.ac.uk/spm/
Executing /storage/tmp/tmp7ql6rn7s/spm_analysis/level1_spm/_subject_id_02/level1design/pyscript_level1design.m at 05-Jul-2024 06:57:16:
Executing /storage/tmp/tmp7ql6rn7s/spm_analysis/level1_spm/_subject_id_02/level1design/pyscript_level1design.m at 05-Jul-2024 06:57:17:
-----------------------------------------------------------------------------------------------------
MATLAB Version: 9.7.0.1737446 (R2019b) Update 9
MATLAB License Number: unknown
Operating System: Linux 5.15.0-67-generic #74-Ubuntu SMP Wed Feb 22 14:14:39 UTC 2023 x86_64
Java Version: Java 1.8.0_202-b08 with Oracle Corporation Java HotSpot(TM) 64-Bit Server VM mixed mode
-----------------------------------------------------------------------------------------------------
MATLAB Version 9.7 (R2019b)
MATLAB Compiler Version 7.1 (R2019b)
SPM version: SPM12 Release: 7771
SPM path: /opt/spm12/spm12_mcr/spm12/spm12/spm.m
------------------------------------------------------------------------
05-Jul-2024 06:57:30 - Running job #1
------------------------------------------------------------------------
05-Jul-2024 06:57:31 - Running 'fMRI model specification'
SPM12: spm_fMRI_design (v7739) 06:57:31 - 05/07/2024
========================================================================
Saving fMRI design : ...SPM.mat saved
SPM12: spm_fmri_spm_ui (v7738) 06:57:31 - 05/07/2024
========================================================================
Mapping files : 05-Jul-2024 06:57:32 - Failed 'fMRI model specification'
Error using spm_vol>spm_vol_hdr (line 80)
File "/storage/tmp/tmp7ql6rn7s/spm_analysis/level1_spm/_subject_id_02/modelspec/sub-02_ses-mri_task-facerecognition_run-1_space-MNI152NLin6Asym_desc-smoothAROMAnonaggr_bold.nii" does not exist.
In file "/opt/spm12/spm12_mcr/spm12/spm12/spm_vol.m" (???), function "spm_vol_hdr" at line 80.
In file "/opt/spm12/spm12_mcr/spm12/spm12/spm_vol.m" (???), function "spm_vol" at line 61.
In file "/opt/spm12/spm12_mcr/spm12/spm12/spm_data_hdr_read.m" (???), function "spm_data_hdr_read" at line 40.
In file "/opt/spm12/spm12_mcr/spm12/spm12/spm_fmri_spm_ui.m" (???), function "spm_fmri_spm_ui" at line 288.
In file "/opt/spm12/spm12_mcr/spm12/spm12/config/spm_run_fmri_spec.m" (???), function "spm_run_fmri_spec" at line 386.
The following modules did not run:
Failed: fMRI model specification
Standard error:
MATLAB code threw an exception:
Job execution failed. The full log of this run can be found in MATLAB command window, starting with the lines (look for the line showing the exact #job as displayed in this error message)
------------------
Running job #1
------------------
File:
Name:MATLABbatch system
Line:0
Return code: 0
240705-06:57:35,726 nipype.workflow WARNING:
[Node] Error on "level1_spm.level1design" (/storage/tmp/tmp7ql6rn7s/spm_analysis/level1_spm/_subject_id_08/level1design)
240705-06:57:35,730 nipype.workflow ERROR:
Node level1design.a3 failed to run on host github-action-runner.
240705-06:57:35,734 nipype.workflow ERROR:
Saving crash info to /storage/tmp/tmp7ql6rn7s/crash-20240705-065735-ubuntu-level1design.a3-557a159e-781a-4127-b1f4-50829cd2102c.txt
Traceback (most recent call last):
File "/home/ubuntu/.local/lib/python3.10/site-packages/nipype/pipeline/plugins/multiproc.py", line 67, in run_node
result["result"] = node.run(updatehash=updatehash)
File "/home/ubuntu/.local/lib/python3.10/site-packages/nipype/pipeline/engine/nodes.py", line 527, in run
result = self._run_interface(execute=True)
File "/home/ubuntu/.local/lib/python3.10/site-packages/nipype/pipeline/engine/nodes.py", line 645, in _run_interface
return self._run_command(execute)
File "/home/ubuntu/.local/lib/python3.10/site-packages/nipype/pipeline/engine/nodes.py", line 771, in _run_command
raise NodeExecutionError(msg)
nipype.pipeline.engine.nodes.NodeExecutionError: Exception raised while executing Node level1design.
Traceback:
Traceback (most recent call last):
File "/home/ubuntu/.local/lib/python3.10/site-packages/nipype/interfaces/base/core.py", line 397, in run
runtime = self._run_interface(runtime)
File "/home/ubuntu/.local/lib/python3.10/site-packages/nipype/interfaces/spm/base.py", line 386, in _run_interface
results = self.mlab.run()
File "/home/ubuntu/.local/lib/python3.10/site-packages/nipype/interfaces/base/core.py", line 397, in run
runtime = self._run_interface(runtime)
File "/home/ubuntu/.local/lib/python3.10/site-packages/nipype/interfaces/matlab.py", line 164, in _run_interface
self.raise_exception(runtime)
File "/home/ubuntu/.local/lib/python3.10/site-packages/nipype/interfaces/base/core.py", line 685, in raise_exception
raise RuntimeError(
RuntimeError: Command:
run_spm12.sh /opt/mcr/v97/ script /storage/tmp/tmp7ql6rn7s/spm_analysis/level1_spm/_subject_id_04/level1design/pyscript_level1design.m
Standard output:
------------------------------------------
Setting up environment variables
---
LD_LIBRARY_PATH is .:/opt/mcr/v97//runtime/glnxa64:/opt/mcr/v97//bin/glnxa64:/opt/mcr/v97//sys/os/glnxa64:/opt/mcr/v97//sys/opengl/lib/glnxa64
SPM12, version 7771 (standalone)
MATLAB, version 9.7.0.1737446 (R2019b) Update 9
___ ____ __ __
/ __)( _ \( \/ )
\__ \ )___/ ) ( Statistical Parametric Mapping
(___/(__) (_/\/\_) SPM12 - https://www.fil.ion.ucl.ac.uk/spm/
Executing /storage/tmp/tmp7ql6rn7s/spm_analysis/level1_spm/_subject_id_04/level1design/pyscript_level1design.m at 05-Jul-2024 06:57:17:
Executing /storage/tmp/tmp7ql6rn7s/spm_analysis/level1_spm/_subject_id_04/level1design/pyscript_level1design.m at 05-Jul-2024 06:57:17:
-----------------------------------------------------------------------------------------------------
MATLAB Version: 9.7.0.1737446 (R2019b) Update 9
MATLAB License Number: unknown
Operating System: Linux 5.15.0-67-generic #74-Ubuntu SMP Wed Feb 22 14:14:39 UTC 2023 x86_64
Java Version: Java 1.8.0_202-b08 with Oracle Corporation Java HotSpot(TM) 64-Bit Server VM mixed mode
-----------------------------------------------------------------------------------------------------
MATLAB Version 9.7 (R2019b)
MATLAB Compiler Version 7.1 (R2019b)
SPM version: SPM12 Release: 7771
SPM path: /opt/spm12/spm12_mcr/spm12/spm12/spm.m
------------------------------------------------------------------------
05-Jul-2024 06:57:31 - Running job #1
------------------------------------------------------------------------
05-Jul-2024 06:57:31 - Running 'fMRI model specification'
SPM12: spm_fMRI_design (v7739) 06:57:31 - 05/07/2024
========================================================================
Saving fMRI design : ...SPM.mat saved
SPM12: spm_fmri_spm_ui (v7738) 06:57:32 - 05/07/2024
========================================================================
Mapping files : 05-Jul-2024 06:57:32 - Failed 'fMRI model specification'
Error using spm_vol>spm_vol_hdr (line 80)
File "/storage/tmp/tmp7ql6rn7s/spm_analysis/level1_spm/_subject_id_04/modelspec/sub-04_ses-mri_task-facerecognition_run-1_space-MNI152NLin6Asym_desc-smoothAROMAnonaggr_bold.nii" does not exist.
In file "/opt/spm12/spm12_mcr/spm12/spm12/spm_vol.m" (???), function "spm_vol_hdr" at line 80.
In file "/opt/spm12/spm12_mcr/spm12/spm12/spm_vol.m" (???), function "spm_vol" at line 61.
In file "/opt/spm12/spm12_mcr/spm12/spm12/spm_data_hdr_read.m" (???), function "spm_data_hdr_read" at line 40.
In file "/opt/spm12/spm12_mcr/spm12/spm12/spm_fmri_spm_ui.m" (???), function "spm_fmri_spm_ui" at line 288.
In file "/opt/spm12/spm12_mcr/spm12/spm12/config/spm_run_fmri_spec.m" (???), function "spm_run_fmri_spec" at line 386.
The following modules did not run:
Failed: fMRI model specification
Standard error:
MATLAB code threw an exception:
Job execution failed. The full log of this run can be found in MATLAB command window, starting with the lines (look for the line showing the exact #job as displayed in this error message)
------------------
Running job #1
------------------
File:
Name:MATLABbatch system
Line:0
Return code: 0
240705-06:57:35,737 nipype.workflow ERROR:
Node level1design.a6 failed to run on host github-action-runner.
240705-06:57:35,739 nipype.workflow ERROR:
Saving crash info to /storage/tmp/tmp7ql6rn7s/crash-20240705-065735-ubuntu-level1design.a6-0e3253bf-d457-454e-a0c4-312354077bb2.txt
Traceback (most recent call last):
File "/home/ubuntu/.local/lib/python3.10/site-packages/nipype/pipeline/plugins/multiproc.py", line 67, in run_node
result["result"] = node.run(updatehash=updatehash)
File "/home/ubuntu/.local/lib/python3.10/site-packages/nipype/pipeline/engine/nodes.py", line 527, in run
result = self._run_interface(execute=True)
File "/home/ubuntu/.local/lib/python3.10/site-packages/nipype/pipeline/engine/nodes.py", line 645, in _run_interface
return self._run_command(execute)
File "/home/ubuntu/.local/lib/python3.10/site-packages/nipype/pipeline/engine/nodes.py", line 771, in _run_command
raise NodeExecutionError(msg)
nipype.pipeline.engine.nodes.NodeExecutionError: Exception raised while executing Node level1design.
Traceback:
Traceback (most recent call last):
File "/home/ubuntu/.local/lib/python3.10/site-packages/nipype/interfaces/base/core.py", line 397, in run
runtime = self._run_interface(runtime)
File "/home/ubuntu/.local/lib/python3.10/site-packages/nipype/interfaces/spm/base.py", line 386, in _run_interface
results = self.mlab.run()
File "/home/ubuntu/.local/lib/python3.10/site-packages/nipype/interfaces/base/core.py", line 397, in run
runtime = self._run_interface(runtime)
File "/home/ubuntu/.local/lib/python3.10/site-packages/nipype/interfaces/matlab.py", line 164, in _run_interface
self.raise_exception(runtime)
File "/home/ubuntu/.local/lib/python3.10/site-packages/nipype/interfaces/base/core.py", line 685, in raise_exception
raise RuntimeError(
RuntimeError: Command:
run_spm12.sh /opt/mcr/v97/ script /storage/tmp/tmp7ql6rn7s/spm_analysis/level1_spm/_subject_id_07/level1design/pyscript_level1design.m
Standard output:
------------------------------------------
Setting up environment variables
---
LD_LIBRARY_PATH is .:/opt/mcr/v97//runtime/glnxa64:/opt/mcr/v97//bin/glnxa64:/opt/mcr/v97//sys/os/glnxa64:/opt/mcr/v97//sys/opengl/lib/glnxa64
SPM12, version 7771 (standalone)
MATLAB, version 9.7.0.1737446 (R2019b) Update 9
___ ____ __ __
/ __)( _ \( \/ )
\__ \ )___/ ) ( Statistical Parametric Mapping
(___/(__) (_/\/\_) SPM12 - https://www.fil.ion.ucl.ac.uk/spm/
Executing /storage/tmp/tmp7ql6rn7s/spm_analysis/level1_spm/_subject_id_07/level1design/pyscript_level1design.m at 05-Jul-2024 06:57:17:
Executing /storage/tmp/tmp7ql6rn7s/spm_analysis/level1_spm/_subject_id_07/level1design/pyscript_level1design.m at 05-Jul-2024 06:57:17:
-----------------------------------------------------------------------------------------------------
MATLAB Version: 9.7.0.1737446 (R2019b) Update 9
MATLAB License Number: unknown
Operating System: Linux 5.15.0-67-generic #74-Ubuntu SMP Wed Feb 22 14:14:39 UTC 2023 x86_64
Java Version: Java 1.8.0_202-b08 with Oracle Corporation Java HotSpot(TM) 64-Bit Server VM mixed mode
-----------------------------------------------------------------------------------------------------
MATLAB Version 9.7 (R2019b)
MATLAB Compiler Version 7.1 (R2019b)
SPM version: SPM12 Release: 7771
SPM path: /opt/spm12/spm12_mcr/spm12/spm12/spm.m
------------------------------------------------------------------------
05-Jul-2024 06:57:30 - Running job #1
------------------------------------------------------------------------
05-Jul-2024 06:57:31 - Running 'fMRI model specification'
SPM12: spm_fMRI_design (v7739) 06:57:31 - 05/07/2024
========================================================================
Saving fMRI design : ...SPM.mat saved
SPM12: spm_fmri_spm_ui (v7738) 06:57:32 - 05/07/2024
========================================================================
Mapping files : 05-Jul-2024 06:57:32 - Failed 'fMRI model specification'
Error using spm_vol>spm_vol_hdr (line 80)
File "/storage/tmp/tmp7ql6rn7s/spm_analysis/level1_spm/_subject_id_07/modelspec/sub-07_ses-mri_task-facerecognition_run-1_space-MNI152NLin6Asym_desc-smoothAROMAnonaggr_bold.nii" does not exist.
In file "/opt/spm12/spm12_mcr/spm12/spm12/spm_vol.m" (???), function "spm_vol_hdr" at line 80.
In file "/opt/spm12/spm12_mcr/spm12/spm12/spm_vol.m" (???), function "spm_vol" at line 61.
In file "/opt/spm12/spm12_mcr/spm12/spm12/spm_data_hdr_read.m" (???), function "spm_data_hdr_read" at line 40.
In file "/opt/spm12/spm12_mcr/spm12/spm12/spm_fmri_spm_ui.m" (???), function "spm_fmri_spm_ui" at line 288.
In file "/opt/spm12/spm12_mcr/spm12/spm12/config/spm_run_fmri_spec.m" (???), function "spm_run_fmri_spec" at line 386.
The following modules did not run:
Failed: fMRI model specification
Standard error:
MATLAB code threw an exception:
Job execution failed. The full log of this run can be found in MATLAB command window, starting with the lines (look for the line showing the exact #job as displayed in this error message)
------------------
Running job #1
------------------
File:
Name:MATLABbatch system
Line:0
Return code: 0
240705-06:57:35,743 nipype.workflow ERROR:
Node level1design.a7 failed to run on host github-action-runner.
240705-06:57:35,744 nipype.workflow ERROR:
Saving crash info to /storage/tmp/tmp7ql6rn7s/crash-20240705-065735-ubuntu-level1design.a7-3f5e0a6c-0310-4209-96c6-1ad3accbba0d.txt
Traceback (most recent call last):
File "/home/ubuntu/.local/lib/python3.10/site-packages/nipype/pipeline/plugins/multiproc.py", line 67, in run_node
result["result"] = node.run(updatehash=updatehash)
File "/home/ubuntu/.local/lib/python3.10/site-packages/nipype/pipeline/engine/nodes.py", line 527, in run
result = self._run_interface(execute=True)
File "/home/ubuntu/.local/lib/python3.10/site-packages/nipype/pipeline/engine/nodes.py", line 645, in _run_interface
return self._run_command(execute)
File "/home/ubuntu/.local/lib/python3.10/site-packages/nipype/pipeline/engine/nodes.py", line 771, in _run_command
raise NodeExecutionError(msg)
nipype.pipeline.engine.nodes.NodeExecutionError: Exception raised while executing Node level1design.
Traceback:
Traceback (most recent call last):
File "/home/ubuntu/.local/lib/python3.10/site-packages/nipype/interfaces/base/core.py", line 397, in run
runtime = self._run_interface(runtime)
File "/home/ubuntu/.local/lib/python3.10/site-packages/nipype/interfaces/spm/base.py", line 386, in _run_interface
results = self.mlab.run()
File "/home/ubuntu/.local/lib/python3.10/site-packages/nipype/interfaces/base/core.py", line 397, in run
runtime = self._run_interface(runtime)
File "/home/ubuntu/.local/lib/python3.10/site-packages/nipype/interfaces/matlab.py", line 164, in _run_interface
self.raise_exception(runtime)
File "/home/ubuntu/.local/lib/python3.10/site-packages/nipype/interfaces/base/core.py", line 685, in raise_exception
raise RuntimeError(
RuntimeError: Command:
run_spm12.sh /opt/mcr/v97/ script /storage/tmp/tmp7ql6rn7s/spm_analysis/level1_spm/_subject_id_08/level1design/pyscript_level1design.m
Standard output:
------------------------------------------
Setting up environment variables
---
LD_LIBRARY_PATH is .:/opt/mcr/v97//runtime/glnxa64:/opt/mcr/v97//bin/glnxa64:/opt/mcr/v97//sys/os/glnxa64:/opt/mcr/v97//sys/opengl/lib/glnxa64
SPM12, version 7771 (standalone)
MATLAB, version 9.7.0.1737446 (R2019b) Update 9
___ ____ __ __
/ __)( _ \( \/ )
\__ \ )___/ ) ( Statistical Parametric Mapping
(___/(__) (_/\/\_) SPM12 - https://www.fil.ion.ucl.ac.uk/spm/
Executing /storage/tmp/tmp7ql6rn7s/spm_analysis/level1_spm/_subject_id_08/level1design/pyscript_level1design.m at 05-Jul-2024 06:57:17:
Executing /storage/tmp/tmp7ql6rn7s/spm_analysis/level1_spm/_subject_id_08/level1design/pyscript_level1design.m at 05-Jul-2024 06:57:17:
-----------------------------------------------------------------------------------------------------
MATLAB Version: 9.7.0.1737446 (R2019b) Update 9
MATLAB License Number: unknown
Operating System: Linux 5.15.0-67-generic #74-Ubuntu SMP Wed Feb 22 14:14:39 UTC 2023 x86_64
Java Version: Java 1.8.0_202-b08 with Oracle Corporation Java HotSpot(TM) 64-Bit Server VM mixed mode
-----------------------------------------------------------------------------------------------------
MATLAB Version 9.7 (R2019b)
MATLAB Compiler Version 7.1 (R2019b)
SPM version: SPM12 Release: 7771
SPM path: /opt/spm12/spm12_mcr/spm12/spm12/spm.m
------------------------------------------------------------------------
05-Jul-2024 06:57:30 - Running job #1
------------------------------------------------------------------------
05-Jul-2024 06:57:30 - Running 'fMRI model specification'
SPM12: spm_fMRI_design (v7739) 06:57:31 - 05/07/2024
========================================================================
Saving fMRI design : ...SPM.mat saved
SPM12: spm_fmri_spm_ui (v7738) 06:57:31 - 05/07/2024
========================================================================
Mapping files : 05-Jul-2024 06:57:32 - Failed 'fMRI model specification'
Error using spm_vol>spm_vol_hdr (line 80)
File "/storage/tmp/tmp7ql6rn7s/spm_analysis/level1_spm/_subject_id_08/modelspec/sub-08_ses-mri_task-facerecognition_run-1_space-MNI152NLin6Asym_desc-smoothAROMAnonaggr_bold.nii" does not exist.
In file "/opt/spm12/spm12_mcr/spm12/spm12/spm_vol.m" (???), function "spm_vol_hdr" at line 80.
In file "/opt/spm12/spm12_mcr/spm12/spm12/spm_vol.m" (???), function "spm_vol" at line 61.
In file "/opt/spm12/spm12_mcr/spm12/spm12/spm_data_hdr_read.m" (???), function "spm_data_hdr_read" at line 40.
In file "/opt/spm12/spm12_mcr/spm12/spm12/spm_fmri_spm_ui.m" (???), function "spm_fmri_spm_ui" at line 288.
In file "/opt/spm12/spm12_mcr/spm12/spm12/config/spm_run_fmri_spec.m" (???), function "spm_run_fmri_spec" at line 386.
The following modules did not run:
Failed: fMRI model specification
Standard error:
MATLAB code threw an exception:
Job execution failed. The full log of this run can be found in MATLAB command window, starting with the lines (look for the line showing the exact #job as displayed in this error message)
------------------
Running job #1
------------------
File:
Name:MATLABbatch system
Line:0
Return code: 0
240705-06:57:35,749 nipype.workflow INFO:
[MultiProc] Running 5 tasks, and 0 jobs ready. Free memory (GB): 112.22/113.22, Free processors: 27/32.
Currently running:
* level1_spm.level1design
* level1_spm.level1design
* level1_spm.level1design
* level1_spm.level1design
* level1_spm.level1design
240705-06:57:35,857 nipype.workflow INFO:
[Node] Finished "level1design", elapsed time 27.891954s.
stty: 'standard input': Inappropriate ioctl for device
stty: 'standard input': Inappropriate ioctl for device
stty: 'standard input': Inappropriate ioctl for device
stty: 'standard input': Inappropriate ioctl for device
stty: 'standard input': Inappropriate ioctl for device
stty: 'standard input': Inappropriate ioctl for device
240705-06:57:35,860 nipype.workflow WARNING:
Storing result file without outputs
240705-06:57:35,865 nipype.workflow WARNING:
[Node] Error on "level1_spm.level1design" (/storage/tmp/tmp7ql6rn7s/spm_analysis/level1_spm/_subject_id_01/level1design)
240705-06:57:35,878 nipype.workflow INFO:
[Node] Finished "level1design", elapsed time 25.864942s.
240705-06:57:35,882 nipype.workflow WARNING:
Storing result file without outputs
240705-06:57:35,898 nipype.workflow WARNING:
[Node] Error on "level1_spm.level1design" (/storage/tmp/tmp7ql6rn7s/spm_analysis/level1_spm/_subject_id_09/level1design)
240705-06:57:36,706 nipype.workflow INFO:
[Node] Finished "level1design", elapsed time 28.732982s.
240705-06:57:36,709 nipype.workflow WARNING:
Storing result file without outputs
240705-06:57:36,715 nipype.workflow WARNING:
[Node] Error on "level1_spm.level1design" (/storage/tmp/tmp7ql6rn7s/spm_analysis/level1_spm/_subject_id_05/level1design)
240705-06:57:36,867 nipype.workflow INFO:
[Node] Finished "level1design", elapsed time 28.893573s.
240705-06:57:36,870 nipype.workflow WARNING:
Storing result file without outputs
240705-06:57:36,876 nipype.workflow WARNING:
[Node] Error on "level1_spm.level1design" (/storage/tmp/tmp7ql6rn7s/spm_analysis/level1_spm/_subject_id_03/level1design)
stty: 'standard input': Inappropriate ioctl for device
stty: 'standard input': Inappropriate ioctl for device
240705-06:57:37,326 nipype.workflow INFO:
[Node] Finished "level1design", elapsed time 29.349837s.
240705-06:57:37,329 nipype.workflow WARNING:
Storing result file without outputs
240705-06:57:37,335 nipype.workflow WARNING:
[Node] Error on "level1_spm.level1design" (/storage/tmp/tmp7ql6rn7s/spm_analysis/level1_spm/_subject_id_06/level1design)
stty: 'standard input': Inappropriate ioctl for device
240705-06:57:37,724 nipype.workflow ERROR:
Node level1design.a0 failed to run on host github-action-runner.
240705-06:57:37,727 nipype.workflow ERROR:
Saving crash info to /storage/tmp/tmp7ql6rn7s/crash-20240705-065737-ubuntu-level1design.a0-4a754c09-de7f-4bd8-97c3-ecb0e995c1ec.txt
Traceback (most recent call last):
File "/home/ubuntu/.local/lib/python3.10/site-packages/nipype/pipeline/plugins/multiproc.py", line 67, in run_node
result["result"] = node.run(updatehash=updatehash)
File "/home/ubuntu/.local/lib/python3.10/site-packages/nipype/pipeline/engine/nodes.py", line 527, in run
result = self._run_interface(execute=True)
File "/home/ubuntu/.local/lib/python3.10/site-packages/nipype/pipeline/engine/nodes.py", line 645, in _run_interface
return self._run_command(execute)
File "/home/ubuntu/.local/lib/python3.10/site-packages/nipype/pipeline/engine/nodes.py", line 771, in _run_command
raise NodeExecutionError(msg)
nipype.pipeline.engine.nodes.NodeExecutionError: Exception raised while executing Node level1design.
Traceback:
Traceback (most recent call last):
File "/home/ubuntu/.local/lib/python3.10/site-packages/nipype/interfaces/base/core.py", line 397, in run
runtime = self._run_interface(runtime)
File "/home/ubuntu/.local/lib/python3.10/site-packages/nipype/interfaces/spm/base.py", line 386, in _run_interface
results = self.mlab.run()
File "/home/ubuntu/.local/lib/python3.10/site-packages/nipype/interfaces/base/core.py", line 397, in run
runtime = self._run_interface(runtime)
File "/home/ubuntu/.local/lib/python3.10/site-packages/nipype/interfaces/matlab.py", line 164, in _run_interface
self.raise_exception(runtime)
File "/home/ubuntu/.local/lib/python3.10/site-packages/nipype/interfaces/base/core.py", line 685, in raise_exception
raise RuntimeError(
RuntimeError: Command:
run_spm12.sh /opt/mcr/v97/ script /storage/tmp/tmp7ql6rn7s/spm_analysis/level1_spm/_subject_id_01/level1design/pyscript_level1design.m
Standard output:
------------------------------------------
Setting up environment variables
---
LD_LIBRARY_PATH is .:/opt/mcr/v97//runtime/glnxa64:/opt/mcr/v97//bin/glnxa64:/opt/mcr/v97//sys/os/glnxa64:/opt/mcr/v97//sys/opengl/lib/glnxa64
SPM12, version 7771 (standalone)
MATLAB, version 9.7.0.1737446 (R2019b) Update 9
___ ____ __ __
/ __)( _ \( \/ )
\__ \ )___/ ) ( Statistical Parametric Mapping
(___/(__) (_/\/\_) SPM12 - https://www.fil.ion.ucl.ac.uk/spm/
Executing /storage/tmp/tmp7ql6rn7s/spm_analysis/level1_spm/_subject_id_01/level1design/pyscript_level1design.m at 05-Jul-2024 06:57:17:
Executing /storage/tmp/tmp7ql6rn7s/spm_analysis/level1_spm/_subject_id_01/level1design/pyscript_level1design.m at 05-Jul-2024 06:57:17:
-----------------------------------------------------------------------------------------------------
MATLAB Version: 9.7.0.1737446 (R2019b) Update 9
MATLAB License Number: unknown
Operating System: Linux 5.15.0-67-generic #74-Ubuntu SMP Wed Feb 22 14:14:39 UTC 2023 x86_64
Java Version: Java 1.8.0_202-b08 with Oracle Corporation Java HotSpot(TM) 64-Bit Server VM mixed mode
-----------------------------------------------------------------------------------------------------
MATLAB Version 9.7 (R2019b)
MATLAB Compiler Version 7.1 (R2019b)
SPM version: SPM12 Release: 7771
SPM path: /opt/spm12/spm12_mcr/spm12/spm12/spm.m
------------------------------------------------------------------------
05-Jul-2024 06:57:30 - Running job #1
------------------------------------------------------------------------
05-Jul-2024 06:57:31 - Running 'fMRI model specification'
SPM12: spm_fMRI_design (v7739) 06:57:31 - 05/07/2024
========================================================================
Saving fMRI design : ...SPM.mat saved
SPM12: spm_fmri_spm_ui (v7738) 06:57:31 - 05/07/2024
========================================================================
Mapping files : 05-Jul-2024 06:57:32 - Failed 'fMRI model specification'
Error using spm_vol>spm_vol_hdr (line 80)
File "/storage/tmp/tmp7ql6rn7s/spm_analysis/level1_spm/_subject_id_01/modelspec/sub-01_ses-mri_task-facerecognition_run-1_space-MNI152NLin6Asym_desc-smoothAROMAnonaggr_bold.nii" does not exist.
In file "/opt/spm12/spm12_mcr/spm12/spm12/spm_vol.m" (???), function "spm_vol_hdr" at line 80.
In file "/opt/spm12/spm12_mcr/spm12/spm12/spm_vol.m" (???), function "spm_vol" at line 61.
In file "/opt/spm12/spm12_mcr/spm12/spm12/spm_data_hdr_read.m" (???), function "spm_data_hdr_read" at line 40.
In file "/opt/spm12/spm12_mcr/spm12/spm12/spm_fmri_spm_ui.m" (???), function "spm_fmri_spm_ui" at line 288.
In file "/opt/spm12/spm12_mcr/spm12/spm12/config/spm_run_fmri_spec.m" (???), function "spm_run_fmri_spec" at line 386.
The following modules did not run:
Failed: fMRI model specification
Standard error:
MATLAB code threw an exception:
Job execution failed. The full log of this run can be found in MATLAB command window, starting with the lines (look for the line showing the exact #job as displayed in this error message)
------------------
Running job #1
------------------
File:
Name:MATLABbatch system
Line:0
Return code: 0
240705-06:57:37,730 nipype.workflow ERROR:
Node level1design.a2 failed to run on host github-action-runner.
240705-06:57:37,731 nipype.workflow ERROR:
Saving crash info to /storage/tmp/tmp7ql6rn7s/crash-20240705-065737-ubuntu-level1design.a2-bca2b30a-92bb-4f96-89d2-59e33a73e95e.txt
Traceback (most recent call last):
File "/home/ubuntu/.local/lib/python3.10/site-packages/nipype/pipeline/plugins/multiproc.py", line 67, in run_node
result["result"] = node.run(updatehash=updatehash)
File "/home/ubuntu/.local/lib/python3.10/site-packages/nipype/pipeline/engine/nodes.py", line 527, in run
result = self._run_interface(execute=True)
File "/home/ubuntu/.local/lib/python3.10/site-packages/nipype/pipeline/engine/nodes.py", line 645, in _run_interface
return self._run_command(execute)
File "/home/ubuntu/.local/lib/python3.10/site-packages/nipype/pipeline/engine/nodes.py", line 771, in _run_command
raise NodeExecutionError(msg)
nipype.pipeline.engine.nodes.NodeExecutionError: Exception raised while executing Node level1design.
Traceback:
Traceback (most recent call last):
File "/home/ubuntu/.local/lib/python3.10/site-packages/nipype/interfaces/base/core.py", line 397, in run
runtime = self._run_interface(runtime)
File "/home/ubuntu/.local/lib/python3.10/site-packages/nipype/interfaces/spm/base.py", line 386, in _run_interface
results = self.mlab.run()
File "/home/ubuntu/.local/lib/python3.10/site-packages/nipype/interfaces/base/core.py", line 397, in run
runtime = self._run_interface(runtime)
File "/home/ubuntu/.local/lib/python3.10/site-packages/nipype/interfaces/matlab.py", line 164, in _run_interface
self.raise_exception(runtime)
File "/home/ubuntu/.local/lib/python3.10/site-packages/nipype/interfaces/base/core.py", line 685, in raise_exception
raise RuntimeError(
RuntimeError: Command:
run_spm12.sh /opt/mcr/v97/ script /storage/tmp/tmp7ql6rn7s/spm_analysis/level1_spm/_subject_id_03/level1design/pyscript_level1design.m
Standard output:
------------------------------------------
Setting up environment variables
---
LD_LIBRARY_PATH is .:/opt/mcr/v97//runtime/glnxa64:/opt/mcr/v97//bin/glnxa64:/opt/mcr/v97//sys/os/glnxa64:/opt/mcr/v97//sys/opengl/lib/glnxa64
SPM12, version 7771 (standalone)
MATLAB, version 9.7.0.1737446 (R2019b) Update 9
___ ____ __ __
/ __)( _ \( \/ )
\__ \ )___/ ) ( Statistical Parametric Mapping
(___/(__) (_/\/\_) SPM12 - https://www.fil.ion.ucl.ac.uk/spm/
Executing /storage/tmp/tmp7ql6rn7s/spm_analysis/level1_spm/_subject_id_03/level1design/pyscript_level1design.m at 05-Jul-2024 06:57:17:
Executing /storage/tmp/tmp7ql6rn7s/spm_analysis/level1_spm/_subject_id_03/level1design/pyscript_level1design.m at 05-Jul-2024 06:57:17:
-----------------------------------------------------------------------------------------------------
MATLAB Version: 9.7.0.1737446 (R2019b) Update 9
MATLAB License Number: unknown
Operating System: Linux 5.15.0-67-generic #74-Ubuntu SMP Wed Feb 22 14:14:39 UTC 2023 x86_64
Java Version: Java 1.8.0_202-b08 with Oracle Corporation Java HotSpot(TM) 64-Bit Server VM mixed mode
-----------------------------------------------------------------------------------------------------
MATLAB Version 9.7 (R2019b)
MATLAB Compiler Version 7.1 (R2019b)
SPM version: SPM12 Release: 7771
SPM path: /opt/spm12/spm12_mcr/spm12/spm12/spm.m
------------------------------------------------------------------------
05-Jul-2024 06:57:32 - Running job #1
------------------------------------------------------------------------
05-Jul-2024 06:57:32 - Running 'fMRI model specification'
SPM12: spm_fMRI_design (v7739) 06:57:32 - 05/07/2024
========================================================================
Saving fMRI design : ...SPM.mat saved
SPM12: spm_fmri_spm_ui (v7738) 06:57:33 - 05/07/2024
========================================================================
Mapping files : 05-Jul-2024 06:57:33 - Failed 'fMRI model specification'
Error using spm_vol>spm_vol_hdr (line 80)
File "/storage/tmp/tmp7ql6rn7s/spm_analysis/level1_spm/_subject_id_03/modelspec/sub-03_ses-mri_task-facerecognition_run-1_space-MNI152NLin6Asym_desc-smoothAROMAnonaggr_bold.nii" does not exist.
In file "/opt/spm12/spm12_mcr/spm12/spm12/spm_vol.m" (???), function "spm_vol_hdr" at line 80.
In file "/opt/spm12/spm12_mcr/spm12/spm12/spm_vol.m" (???), function "spm_vol" at line 61.
In file "/opt/spm12/spm12_mcr/spm12/spm12/spm_data_hdr_read.m" (???), function "spm_data_hdr_read" at line 40.
In file "/opt/spm12/spm12_mcr/spm12/spm12/spm_fmri_spm_ui.m" (???), function "spm_fmri_spm_ui" at line 288.
In file "/opt/spm12/spm12_mcr/spm12/spm12/config/spm_run_fmri_spec.m" (???), function "spm_run_fmri_spec" at line 386.
The following modules did not run:
Failed: fMRI model specification
Standard error:
MATLAB code threw an exception:
Job execution failed. The full log of this run can be found in MATLAB command window, starting with the lines (look for the line showing the exact #job as displayed in this error message)
------------------
Running job #1
------------------
File:
Name:MATLABbatch system
Line:0
Return code: 0
240705-06:57:37,735 nipype.workflow ERROR:
Node level1design.a4 failed to run on host github-action-runner.
240705-06:57:37,737 nipype.workflow ERROR:
Saving crash info to /storage/tmp/tmp7ql6rn7s/crash-20240705-065737-ubuntu-level1design.a4-054bc47d-4873-493b-a837-498a745a4c7b.txt
Traceback (most recent call last):
File "/home/ubuntu/.local/lib/python3.10/site-packages/nipype/pipeline/plugins/multiproc.py", line 67, in run_node
result["result"] = node.run(updatehash=updatehash)
File "/home/ubuntu/.local/lib/python3.10/site-packages/nipype/pipeline/engine/nodes.py", line 527, in run
result = self._run_interface(execute=True)
File "/home/ubuntu/.local/lib/python3.10/site-packages/nipype/pipeline/engine/nodes.py", line 645, in _run_interface
return self._run_command(execute)
File "/home/ubuntu/.local/lib/python3.10/site-packages/nipype/pipeline/engine/nodes.py", line 771, in _run_command
raise NodeExecutionError(msg)
nipype.pipeline.engine.nodes.NodeExecutionError: Exception raised while executing Node level1design.
Traceback:
Traceback (most recent call last):
File "/home/ubuntu/.local/lib/python3.10/site-packages/nipype/interfaces/base/core.py", line 397, in run
runtime = self._run_interface(runtime)
File "/home/ubuntu/.local/lib/python3.10/site-packages/nipype/interfaces/spm/base.py", line 386, in _run_interface
results = self.mlab.run()
File "/home/ubuntu/.local/lib/python3.10/site-packages/nipype/interfaces/base/core.py", line 397, in run
runtime = self._run_interface(runtime)
File "/home/ubuntu/.local/lib/python3.10/site-packages/nipype/interfaces/matlab.py", line 164, in _run_interface
self.raise_exception(runtime)
File "/home/ubuntu/.local/lib/python3.10/site-packages/nipype/interfaces/base/core.py", line 685, in raise_exception
raise RuntimeError(
RuntimeError: Command:
run_spm12.sh /opt/mcr/v97/ script /storage/tmp/tmp7ql6rn7s/spm_analysis/level1_spm/_subject_id_05/level1design/pyscript_level1design.m
Standard output:
------------------------------------------
Setting up environment variables
---
LD_LIBRARY_PATH is .:/opt/mcr/v97//runtime/glnxa64:/opt/mcr/v97//bin/glnxa64:/opt/mcr/v97//sys/os/glnxa64:/opt/mcr/v97//sys/opengl/lib/glnxa64
SPM12, version 7771 (standalone)
MATLAB, version 9.7.0.1737446 (R2019b) Update 9
___ ____ __ __
/ __)( _ \( \/ )
\__ \ )___/ ) ( Statistical Parametric Mapping
(___/(__) (_/\/\_) SPM12 - https://www.fil.ion.ucl.ac.uk/spm/
Executing /storage/tmp/tmp7ql6rn7s/spm_analysis/level1_spm/_subject_id_05/level1design/pyscript_level1design.m at 05-Jul-2024 06:57:17:
Executing /storage/tmp/tmp7ql6rn7s/spm_analysis/level1_spm/_subject_id_05/level1design/pyscript_level1design.m at 05-Jul-2024 06:57:17:
-----------------------------------------------------------------------------------------------------
MATLAB Version: 9.7.0.1737446 (R2019b) Update 9
MATLAB License Number: unknown
Operating System: Linux 5.15.0-67-generic #74-Ubuntu SMP Wed Feb 22 14:14:39 UTC 2023 x86_64
Java Version: Java 1.8.0_202-b08 with Oracle Corporation Java HotSpot(TM) 64-Bit Server VM mixed mode
-----------------------------------------------------------------------------------------------------
MATLAB Version 9.7 (R2019b)
MATLAB Compiler Version 7.1 (R2019b)
SPM version: SPM12 Release: 7771
SPM path: /opt/spm12/spm12_mcr/spm12/spm12/spm.m
------------------------------------------------------------------------
05-Jul-2024 06:57:32 - Running job #1
------------------------------------------------------------------------
05-Jul-2024 06:57:32 - Running 'fMRI model specification'
SPM12: spm_fMRI_design (v7739) 06:57:32 - 05/07/2024
========================================================================
Saving fMRI design : ...SPM.mat saved
SPM12: spm_fmri_spm_ui (v7738) 06:57:32 - 05/07/2024
========================================================================
Mapping files : 05-Jul-2024 06:57:33 - Failed 'fMRI model specification'
Error using spm_vol>spm_vol_hdr (line 80)
File "/storage/tmp/tmp7ql6rn7s/spm_analysis/level1_spm/_subject_id_05/modelspec/sub-05_ses-mri_task-facerecognition_run-1_space-MNI152NLin6Asym_desc-smoothAROMAnonaggr_bold.nii" does not exist.
In file "/opt/spm12/spm12_mcr/spm12/spm12/spm_vol.m" (???), function "spm_vol_hdr" at line 80.
In file "/opt/spm12/spm12_mcr/spm12/spm12/spm_vol.m" (???), function "spm_vol" at line 61.
In file "/opt/spm12/spm12_mcr/spm12/spm12/spm_data_hdr_read.m" (???), function "spm_data_hdr_read" at line 40.
In file "/opt/spm12/spm12_mcr/spm12/spm12/spm_fmri_spm_ui.m" (???), function "spm_fmri_spm_ui" at line 288.
In file "/opt/spm12/spm12_mcr/spm12/spm12/config/spm_run_fmri_spec.m" (???), function "spm_run_fmri_spec" at line 386.
The following modules did not run:
Failed: fMRI model specification
Standard error:
MATLAB code threw an exception:
Job execution failed. The full log of this run can be found in MATLAB command window, starting with the lines (look for the line showing the exact #job as displayed in this error message)
------------------
Running job #1
------------------
File:
Name:MATLABbatch system
Line:0
Return code: 0
240705-06:57:37,740 nipype.workflow ERROR:
Node level1design.a5 failed to run on host github-action-runner.
240705-06:57:37,742 nipype.workflow ERROR:
Saving crash info to /storage/tmp/tmp7ql6rn7s/crash-20240705-065737-ubuntu-level1design.a5-053e827d-1bb3-42b7-ab35-d86eddb7222b.txt
Traceback (most recent call last):
File "/home/ubuntu/.local/lib/python3.10/site-packages/nipype/pipeline/plugins/multiproc.py", line 67, in run_node
result["result"] = node.run(updatehash=updatehash)
File "/home/ubuntu/.local/lib/python3.10/site-packages/nipype/pipeline/engine/nodes.py", line 527, in run
result = self._run_interface(execute=True)
File "/home/ubuntu/.local/lib/python3.10/site-packages/nipype/pipeline/engine/nodes.py", line 645, in _run_interface
return self._run_command(execute)
File "/home/ubuntu/.local/lib/python3.10/site-packages/nipype/pipeline/engine/nodes.py", line 771, in _run_command
raise NodeExecutionError(msg)
nipype.pipeline.engine.nodes.NodeExecutionError: Exception raised while executing Node level1design.
Traceback:
Traceback (most recent call last):
File "/home/ubuntu/.local/lib/python3.10/site-packages/nipype/interfaces/base/core.py", line 397, in run
runtime = self._run_interface(runtime)
File "/home/ubuntu/.local/lib/python3.10/site-packages/nipype/interfaces/spm/base.py", line 386, in _run_interface
results = self.mlab.run()
File "/home/ubuntu/.local/lib/python3.10/site-packages/nipype/interfaces/base/core.py", line 397, in run
runtime = self._run_interface(runtime)
File "/home/ubuntu/.local/lib/python3.10/site-packages/nipype/interfaces/matlab.py", line 164, in _run_interface
self.raise_exception(runtime)
File "/home/ubuntu/.local/lib/python3.10/site-packages/nipype/interfaces/base/core.py", line 685, in raise_exception
raise RuntimeError(
RuntimeError: Command:
run_spm12.sh /opt/mcr/v97/ script /storage/tmp/tmp7ql6rn7s/spm_analysis/level1_spm/_subject_id_06/level1design/pyscript_level1design.m
Standard output:
------------------------------------------
Setting up environment variables
---
LD_LIBRARY_PATH is .:/opt/mcr/v97//runtime/glnxa64:/opt/mcr/v97//bin/glnxa64:/opt/mcr/v97//sys/os/glnxa64:/opt/mcr/v97//sys/opengl/lib/glnxa64
SPM12, version 7771 (standalone)
MATLAB, version 9.7.0.1737446 (R2019b) Update 9
___ ____ __ __
/ __)( _ \( \/ )
\__ \ )___/ ) ( Statistical Parametric Mapping
(___/(__) (_/\/\_) SPM12 - https://www.fil.ion.ucl.ac.uk/spm/
Executing /storage/tmp/tmp7ql6rn7s/spm_analysis/level1_spm/_subject_id_06/level1design/pyscript_level1design.m at 05-Jul-2024 06:57:17:
Executing /storage/tmp/tmp7ql6rn7s/spm_analysis/level1_spm/_subject_id_06/level1design/pyscript_level1design.m at 05-Jul-2024 06:57:17:
-----------------------------------------------------------------------------------------------------
MATLAB Version: 9.7.0.1737446 (R2019b) Update 9
MATLAB License Number: unknown
Operating System: Linux 5.15.0-67-generic #74-Ubuntu SMP Wed Feb 22 14:14:39 UTC 2023 x86_64
Java Version: Java 1.8.0_202-b08 with Oracle Corporation Java HotSpot(TM) 64-Bit Server VM mixed mode
-----------------------------------------------------------------------------------------------------
MATLAB Version 9.7 (R2019b)
MATLAB Compiler Version 7.1 (R2019b)
SPM version: SPM12 Release: 7771
SPM path: /opt/spm12/spm12_mcr/spm12/spm12/spm.m
------------------------------------------------------------------------
05-Jul-2024 06:57:32 - Running job #1
------------------------------------------------------------------------
05-Jul-2024 06:57:33 - Running 'fMRI model specification'
SPM12: spm_fMRI_design (v7739) 06:57:33 - 05/07/2024
========================================================================
Saving fMRI design : ...SPM.mat saved
SPM12: spm_fmri_spm_ui (v7738) 06:57:33 - 05/07/2024
========================================================================
Mapping files : 05-Jul-2024 06:57:34 - Failed 'fMRI model specification'
Error using spm_vol>spm_vol_hdr (line 80)
File "/storage/tmp/tmp7ql6rn7s/spm_analysis/level1_spm/_subject_id_06/modelspec/sub-06_ses-mri_task-facerecognition_run-1_space-MNI152NLin6Asym_desc-smoothAROMAnonaggr_bold.nii" does not exist.
In file "/opt/spm12/spm12_mcr/spm12/spm12/spm_vol.m" (???), function "spm_vol_hdr" at line 80.
In file "/opt/spm12/spm12_mcr/spm12/spm12/spm_vol.m" (???), function "spm_vol" at line 61.
In file "/opt/spm12/spm12_mcr/spm12/spm12/spm_data_hdr_read.m" (???), function "spm_data_hdr_read" at line 40.
In file "/opt/spm12/spm12_mcr/spm12/spm12/spm_fmri_spm_ui.m" (???), function "spm_fmri_spm_ui" at line 288.
In file "/opt/spm12/spm12_mcr/spm12/spm12/config/spm_run_fmri_spec.m" (???), function "spm_run_fmri_spec" at line 386.
The following modules did not run:
Failed: fMRI model specification
Standard error:
MATLAB code threw an exception:
Job execution failed. The full log of this run can be found in MATLAB command window, starting with the lines (look for the line showing the exact #job as displayed in this error message)
------------------
Running job #1
------------------
File:
Name:MATLABbatch system
Line:0
Return code: 0
240705-06:57:37,744 nipype.workflow ERROR:
Node level1design.a8 failed to run on host github-action-runner.
240705-06:57:37,745 nipype.workflow ERROR:
Saving crash info to /storage/tmp/tmp7ql6rn7s/crash-20240705-065737-ubuntu-level1design.a8-e8fa2b91-6650-48ae-81fc-c15e2bc6afce.txt
Traceback (most recent call last):
File "/home/ubuntu/.local/lib/python3.10/site-packages/nipype/pipeline/plugins/multiproc.py", line 67, in run_node
result["result"] = node.run(updatehash=updatehash)
File "/home/ubuntu/.local/lib/python3.10/site-packages/nipype/pipeline/engine/nodes.py", line 527, in run
result = self._run_interface(execute=True)
File "/home/ubuntu/.local/lib/python3.10/site-packages/nipype/pipeline/engine/nodes.py", line 645, in _run_interface
return self._run_command(execute)
File "/home/ubuntu/.local/lib/python3.10/site-packages/nipype/pipeline/engine/nodes.py", line 771, in _run_command
raise NodeExecutionError(msg)
nipype.pipeline.engine.nodes.NodeExecutionError: Exception raised while executing Node level1design.
Traceback:
Traceback (most recent call last):
File "/home/ubuntu/.local/lib/python3.10/site-packages/nipype/interfaces/base/core.py", line 397, in run
runtime = self._run_interface(runtime)
File "/home/ubuntu/.local/lib/python3.10/site-packages/nipype/interfaces/spm/base.py", line 386, in _run_interface
results = self.mlab.run()
File "/home/ubuntu/.local/lib/python3.10/site-packages/nipype/interfaces/base/core.py", line 397, in run
runtime = self._run_interface(runtime)
File "/home/ubuntu/.local/lib/python3.10/site-packages/nipype/interfaces/matlab.py", line 164, in _run_interface
self.raise_exception(runtime)
File "/home/ubuntu/.local/lib/python3.10/site-packages/nipype/interfaces/base/core.py", line 685, in raise_exception
raise RuntimeError(
RuntimeError: Command:
run_spm12.sh /opt/mcr/v97/ script /storage/tmp/tmp7ql6rn7s/spm_analysis/level1_spm/_subject_id_09/level1design/pyscript_level1design.m
Standard output:
------------------------------------------
Setting up environment variables
---
LD_LIBRARY_PATH is .:/opt/mcr/v97//runtime/glnxa64:/opt/mcr/v97//bin/glnxa64:/opt/mcr/v97//sys/os/glnxa64:/opt/mcr/v97//sys/opengl/lib/glnxa64
SPM12, version 7771 (standalone)
MATLAB, version 9.7.0.1737446 (R2019b) Update 9
___ ____ __ __
/ __)( _ \( \/ )
\__ \ )___/ ) ( Statistical Parametric Mapping
(___/(__) (_/\/\_) SPM12 - https://www.fil.ion.ucl.ac.uk/spm/
Executing /storage/tmp/tmp7ql6rn7s/spm_analysis/level1_spm/_subject_id_09/level1design/pyscript_level1design.m at 05-Jul-2024 06:57:18:
Executing /storage/tmp/tmp7ql6rn7s/spm_analysis/level1_spm/_subject_id_09/level1design/pyscript_level1design.m at 05-Jul-2024 06:57:18:
-----------------------------------------------------------------------------------------------------
MATLAB Version: 9.7.0.1737446 (R2019b) Update 9
MATLAB License Number: unknown
Operating System: Linux 5.15.0-67-generic #74-Ubuntu SMP Wed Feb 22 14:14:39 UTC 2023 x86_64
Java Version: Java 1.8.0_202-b08 with Oracle Corporation Java HotSpot(TM) 64-Bit Server VM mixed mode
-----------------------------------------------------------------------------------------------------
MATLAB Version 9.7 (R2019b)
MATLAB Compiler Version 7.1 (R2019b)
SPM version: SPM12 Release: 7771
SPM path: /opt/spm12/spm12_mcr/spm12/spm12/spm.m
------------------------------------------------------------------------
05-Jul-2024 06:57:31 - Running job #1
------------------------------------------------------------------------
05-Jul-2024 06:57:31 - Running 'fMRI model specification'
SPM12: spm_fMRI_design (v7739) 06:57:31 - 05/07/2024
========================================================================
Saving fMRI design : ...SPM.mat saved
SPM12: spm_fmri_spm_ui (v7738) 06:57:31 - 05/07/2024
========================================================================
Mapping files : 05-Jul-2024 06:57:32 - Failed 'fMRI model specification'
Error using spm_vol>spm_vol_hdr (line 80)
File "/storage/tmp/tmp7ql6rn7s/spm_analysis/level1_spm/_subject_id_09/modelspec/sub-09_ses-mri_task-facerecognition_run-1_space-MNI152NLin6Asym_desc-smoothAROMAnonaggr_bold.nii" does not exist.
In file "/opt/spm12/spm12_mcr/spm12/spm12/spm_vol.m" (???), function "spm_vol_hdr" at line 80.
In file "/opt/spm12/spm12_mcr/spm12/spm12/spm_vol.m" (???), function "spm_vol" at line 61.
In file "/opt/spm12/spm12_mcr/spm12/spm12/spm_data_hdr_read.m" (???), function "spm_data_hdr_read" at line 40.
In file "/opt/spm12/spm12_mcr/spm12/spm12/spm_fmri_spm_ui.m" (???), function "spm_fmri_spm_ui" at line 288.
In file "/opt/spm12/spm12_mcr/spm12/spm12/config/spm_run_fmri_spec.m" (???), function "spm_run_fmri_spec" at line 386.
The following modules did not run:
Failed: fMRI model specification
Standard error:
MATLAB code threw an exception:
Job execution failed. The full log of this run can be found in MATLAB command window, starting with the lines (look for the line showing the exact #job as displayed in this error message)
------------------
Running job #1
------------------
File:
Name:MATLABbatch system
Line:0
Return code: 0
240705-06:57:37,748 nipype.workflow INFO:
[MultiProc] Running 0 tasks, and 0 jobs ready. Free memory (GB): 113.22/113.22, Free processors: 32/32.
240705-06:57:39,723 nipype.workflow INFO:
***********************************
240705-06:57:39,724 nipype.workflow ERROR:
could not run node: level1_spm.level1design.a1
240705-06:57:39,725 nipype.workflow INFO:
crashfile: /storage/tmp/tmp7ql6rn7s/crash-20240705-065735-ubuntu-level1design.a1-a29aa20e-0c5f-45b7-85ab-bf1d84765045.txt
240705-06:57:39,727 nipype.workflow ERROR:
could not run node: level1_spm.level1design.a3
240705-06:57:39,728 nipype.workflow INFO:
crashfile: /storage/tmp/tmp7ql6rn7s/crash-20240705-065735-ubuntu-level1design.a3-557a159e-781a-4127-b1f4-50829cd2102c.txt
240705-06:57:39,729 nipype.workflow ERROR:
could not run node: level1_spm.level1design.a6
240705-06:57:39,730 nipype.workflow INFO:
crashfile: /storage/tmp/tmp7ql6rn7s/crash-20240705-065735-ubuntu-level1design.a6-0e3253bf-d457-454e-a0c4-312354077bb2.txt
240705-06:57:39,731 nipype.workflow ERROR:
could not run node: level1_spm.level1design.a7
240705-06:57:39,733 nipype.workflow INFO:
crashfile: /storage/tmp/tmp7ql6rn7s/crash-20240705-065735-ubuntu-level1design.a7-3f5e0a6c-0310-4209-96c6-1ad3accbba0d.txt
240705-06:57:39,734 nipype.workflow ERROR:
could not run node: level1_spm.level1design.a0
240705-06:57:39,735 nipype.workflow INFO:
crashfile: /storage/tmp/tmp7ql6rn7s/crash-20240705-065737-ubuntu-level1design.a0-4a754c09-de7f-4bd8-97c3-ecb0e995c1ec.txt
240705-06:57:39,735 nipype.workflow ERROR:
could not run node: level1_spm.level1design.a2
240705-06:57:39,737 nipype.workflow INFO:
crashfile: /storage/tmp/tmp7ql6rn7s/crash-20240705-065737-ubuntu-level1design.a2-bca2b30a-92bb-4f96-89d2-59e33a73e95e.txt
240705-06:57:39,738 nipype.workflow ERROR:
could not run node: level1_spm.level1design.a4
240705-06:57:39,738 nipype.workflow INFO:
crashfile: /storage/tmp/tmp7ql6rn7s/crash-20240705-065737-ubuntu-level1design.a4-054bc47d-4873-493b-a837-498a745a4c7b.txt
240705-06:57:39,739 nipype.workflow ERROR:
could not run node: level1_spm.level1design.a5
240705-06:57:39,740 nipype.workflow INFO:
crashfile: /storage/tmp/tmp7ql6rn7s/crash-20240705-065737-ubuntu-level1design.a5-053e827d-1bb3-42b7-ab35-d86eddb7222b.txt
240705-06:57:39,740 nipype.workflow ERROR:
could not run node: level1_spm.level1design.a8
240705-06:57:39,741 nipype.workflow INFO:
crashfile: /storage/tmp/tmp7ql6rn7s/crash-20240705-065737-ubuntu-level1design.a8-e8fa2b91-6650-48ae-81fc-c15e2bc6afce.txt
240705-06:57:39,742 nipype.workflow INFO:
***********************************
---------------------------------------------------------------------------
RuntimeError Traceback (most recent call last)
RuntimeError: Traceback (most recent call last):
File "/home/ubuntu/.local/lib/python3.10/site-packages/nipype/pipeline/plugins/multiproc.py", line 67, in run_node
result["result"] = node.run(updatehash=updatehash)
File "/home/ubuntu/.local/lib/python3.10/site-packages/nipype/pipeline/engine/nodes.py", line 527, in run
result = self._run_interface(execute=True)
File "/home/ubuntu/.local/lib/python3.10/site-packages/nipype/pipeline/engine/nodes.py", line 645, in _run_interface
return self._run_command(execute)
File "/home/ubuntu/.local/lib/python3.10/site-packages/nipype/pipeline/engine/nodes.py", line 771, in _run_command
raise NodeExecutionError(msg)
nipype.pipeline.engine.nodes.NodeExecutionError: Exception raised while executing Node level1design.
Traceback:
Traceback (most recent call last):
File "/home/ubuntu/.local/lib/python3.10/site-packages/nipype/interfaces/base/core.py", line 397, in run
runtime = self._run_interface(runtime)
File "/home/ubuntu/.local/lib/python3.10/site-packages/nipype/interfaces/spm/base.py", line 386, in _run_interface
results = self.mlab.run()
File "/home/ubuntu/.local/lib/python3.10/site-packages/nipype/interfaces/base/core.py", line 397, in run
runtime = self._run_interface(runtime)
File "/home/ubuntu/.local/lib/python3.10/site-packages/nipype/interfaces/matlab.py", line 164, in _run_interface
self.raise_exception(runtime)
File "/home/ubuntu/.local/lib/python3.10/site-packages/nipype/interfaces/base/core.py", line 685, in raise_exception
raise RuntimeError(
RuntimeError: Command:
run_spm12.sh /opt/mcr/v97/ script /storage/tmp/tmp7ql6rn7s/spm_analysis/level1_spm/_subject_id_02/level1design/pyscript_level1design.m
Standard output:
------------------------------------------
Setting up environment variables
---
LD_LIBRARY_PATH is .:/opt/mcr/v97//runtime/glnxa64:/opt/mcr/v97//bin/glnxa64:/opt/mcr/v97//sys/os/glnxa64:/opt/mcr/v97//sys/opengl/lib/glnxa64
SPM12, version 7771 (standalone)
MATLAB, version 9.7.0.1737446 (R2019b) Update 9
___ ____ __ __
/ __)( _ \( \/ )
\__ \ )___/ ) ( Statistical Parametric Mapping
(___/(__) (_/\/\_) SPM12 - https://www.fil.ion.ucl.ac.uk/spm/
Executing /storage/tmp/tmp7ql6rn7s/spm_analysis/level1_spm/_subject_id_02/level1design/pyscript_level1design.m at 05-Jul-2024 06:57:16:
Executing /storage/tmp/tmp7ql6rn7s/spm_analysis/level1_spm/_subject_id_02/level1design/pyscript_level1design.m at 05-Jul-2024 06:57:17:
-----------------------------------------------------------------------------------------------------
MATLAB Version: 9.7.0.1737446 (R2019b) Update 9
MATLAB License Number: unknown
Operating System: Linux 5.15.0-67-generic #74-Ubuntu SMP Wed Feb 22 14:14:39 UTC 2023 x86_64
Java Version: Java 1.8.0_202-b08 with Oracle Corporation Java HotSpot(TM) 64-Bit Server VM mixed mode
-----------------------------------------------------------------------------------------------------
MATLAB Version 9.7 (R2019b)
MATLAB Compiler Version 7.1 (R2019b)
SPM version: SPM12 Release: 7771
SPM path: /opt/spm12/spm12_mcr/spm12/spm12/spm.m
------------------------------------------------------------------------
05-Jul-2024 06:57:30 - Running job #1
------------------------------------------------------------------------
05-Jul-2024 06:57:31 - Running 'fMRI model specification'
SPM12: spm_fMRI_design (v7739) 06:57:31 - 05/07/2024
========================================================================
Saving fMRI design : ...SPM.mat saved
SPM12: spm_fmri_spm_ui (v7738) 06:57:31 - 05/07/2024
========================================================================
Mapping files : 05-Jul-2024 06:57:32 - Failed 'fMRI model specification'
Error using spm_vol>spm_vol_hdr (line 80)
File "/storage/tmp/tmp7ql6rn7s/spm_analysis/level1_spm/_subject_id_02/modelspec/sub-02_ses-mri_task-facerecognition_run-1_space-MNI152NLin6Asym_desc-smoothAROMAnonaggr_bold.nii" does not exist.
In file "/opt/spm12/spm12_mcr/spm12/spm12/spm_vol.m" (???), function "spm_vol_hdr" at line 80.
In file "/opt/spm12/spm12_mcr/spm12/spm12/spm_vol.m" (???), function "spm_vol" at line 61.
In file "/opt/spm12/spm12_mcr/spm12/spm12/spm_data_hdr_read.m" (???), function "spm_data_hdr_read" at line 40.
In file "/opt/spm12/spm12_mcr/spm12/spm12/spm_fmri_spm_ui.m" (???), function "spm_fmri_spm_ui" at line 288.
In file "/opt/spm12/spm12_mcr/spm12/spm12/config/spm_run_fmri_spec.m" (???), function "spm_run_fmri_spec" at line 386.
The following modules did not run:
Failed: fMRI model specification
Standard error:
MATLAB code threw an exception:
Job execution failed. The full log of this run can be found in MATLAB command window, starting with the lines (look for the line showing the exact #job as displayed in this error message)
------------------
Running job #1
------------------
File:
Name:MATLABbatch system
Line:0
Return code: 0
The above exception was the direct cause of the following exception:
RuntimeError Traceback (most recent call last)
Cell In[31], line 1
----> 1 wf.run(plugin="MultiProc") #will use all CPUs
2 #ca. 10 min
File ~/.local/lib/python3.10/site-packages/nipype/pipeline/engine/workflows.py:638, in Workflow.run(self, plugin, plugin_args, updatehash)
636 if str2bool(self.config["execution"]["create_report"]):
637 self._write_report_info(self.base_dir, self.name, execgraph)
--> 638 runner.run(execgraph, updatehash=updatehash, config=self.config)
639 datestr = datetime.utcnow().strftime("%Y%m%dT%H%M%S")
640 if str2bool(self.config["execution"]["write_provenance"]):
File ~/.local/lib/python3.10/site-packages/nipype/pipeline/plugins/base.py:224, in DistributedPluginBase.run(self, graph, config, updatehash)
218 if len(errors) > 1:
219 error, cause = (
220 RuntimeError(f"{len(errors)} raised. Re-raising first."),
221 error,
222 )
--> 224 raise error from cause
RuntimeError: 9 raised. Re-raising first.
Visualize design matrix and list contrasts#
spmmat = loadmat(opj(experiment_dir, 'level1_spm_results/sub-01/SPM.mat'), struct_as_record=False)
designMatrix = spmmat['SPM'][0][0].xX[0][0].X
names =[i[0] for i in spmmat['SPM'][0][0].xX[0][0].name[0]]
names_contrast = [spmmat['SPM'][0][0].xCon[0][i].name[0] for i in range(spmmat['SPM'][0][0].xCon.shape[1])]
normed_design=designMatrix / np.abs(designMatrix).max(axis=0)
fig,ax = plt.subplots(figsize=(8,8))
plt.imshow(normed_design, aspect='auto', cmap='gray')
ax.set_ylabel('Volume id')
ax.set_xticks(np.arange(len(names)))
ax.set_xticklabels(names, rotation=90);
---------------------------------------------------------------------------
FileNotFoundError Traceback (most recent call last)
File ~/.local/lib/python3.10/site-packages/scipy/io/matlab/_mio.py:39, in _open_file(file_like, appendmat, mode)
38 try:
---> 39 return open(file_like, mode), True
40 except OSError as e:
41 # Probably "not found"
FileNotFoundError: [Errno 2] No such file or directory: '/storage/tmp/tmp7ql6rn7s/spm_analysis/level1_spm_results/sub-01/SPM.mat'
During handling of the above exception, another exception occurred:
FileNotFoundError Traceback (most recent call last)
Cell In[32], line 1
----> 1 spmmat = loadmat(opj(experiment_dir, 'level1_spm_results/sub-01/SPM.mat'), struct_as_record=False)
3 designMatrix = spmmat['SPM'][0][0].xX[0][0].X
4 names =[i[0] for i in spmmat['SPM'][0][0].xX[0][0].name[0]]
File ~/.local/lib/python3.10/site-packages/scipy/io/matlab/_mio.py:225, in loadmat(file_name, mdict, appendmat, **kwargs)
88 """
89 Load MATLAB file.
90
(...)
222 3.14159265+3.14159265j])
223 """
224 variable_names = kwargs.pop('variable_names', None)
--> 225 with _open_file_context(file_name, appendmat) as f:
226 MR, _ = mat_reader_factory(f, **kwargs)
227 matfile_dict = MR.get_variables(variable_names)
File /usr/lib/python3.10/contextlib.py:135, in _GeneratorContextManager.__enter__(self)
133 del self.args, self.kwds, self.func
134 try:
--> 135 return next(self.gen)
136 except StopIteration:
137 raise RuntimeError("generator didn't yield") from None
File ~/.local/lib/python3.10/site-packages/scipy/io/matlab/_mio.py:17, in _open_file_context(file_like, appendmat, mode)
15 @contextmanager
16 def _open_file_context(file_like, appendmat, mode='rb'):
---> 17 f, opened = _open_file(file_like, appendmat, mode)
18 try:
19 yield f
File ~/.local/lib/python3.10/site-packages/scipy/io/matlab/_mio.py:45, in _open_file(file_like, appendmat, mode)
43 if appendmat and not file_like.endswith('.mat'):
44 file_like += '.mat'
---> 45 return open(file_like, mode), True
46 else:
47 raise OSError(
48 'Reader needs file name or open file-like object'
49 ) from e
FileNotFoundError: [Errno 2] No such file or directory: '/storage/tmp/tmp7ql6rn7s/spm_analysis/level1_spm_results/sub-01/SPM.mat'
data = []
xCon_array = spmmat['SPM'][0][0].xCon[0]
# Iterate over each struct in the xCon array, nested loop, iterate over Vspm and Vcon to get filenames
for struct in xCon_array:
name = struct.name[0]
stat = struct.STAT[0]
c = struct.c.flatten().tolist()
vspm = struct.Vspm[0]
vcon = struct.Vcon[0]
for st in vspm:
vspm_name = st.fname[0]
for s in vcon:
vcon_name = s.fname[0]
data.append({"Name": name, "STAT": stat, "c": c, "spm_file": vspm_name, "con_file": vcon_name})
df = pd.DataFrame(data)
df_string = df.to_string(index=False)
print(df_string)
---------------------------------------------------------------------------
NameError Traceback (most recent call last)
Cell In[33], line 3
1 data = []
----> 3 xCon_array = spmmat['SPM'][0][0].xCon[0]
5 # Iterate over each struct in the xCon array, nested loop, iterate over Vspm and Vcon to get filenames
6 for struct in xCon_array:
NameError: name 'spmmat' is not defined
2. Second Level Analysis#
For a factorial design with 2 factors there are 4 effects to test for: an overall effect, 2 main effects and one two-way interaction:
To test (1) the overall effect, use a [1 1 1 1 1 1] contrast for each subject and take the resulting con images of all subjects into a one-sample t-test at the second level. Then specify a [1] F-contrast (at the second level) to test for significantly non-zero BOLD responses related to the paradigm.
To test for (2) the main effect of Factor Repetition (two levels), use a [1 -1 1 -1 1 -1] contrast for each subject and take the resulting con images into a one-sample t-test at the second level.
To test for (3) the main effect of Factor Face (three levels), use two contrasts per subject [1 1 -1 -1 0 0] and [0 0 1 1 -1 -1] and take all resulting con images (two per subject) into a two-sample t-test design at the second level. Then, use a [1 0; 0 1] F-contrast to test for this main effect.
To test for (4) the interaction between Factors Face and Rep, use two contrasts per subject [1 -1 -1 1 0 0] and [0 0 1 -1 -1 1] and take all resulting con images (two per subject) into a two-sample t-test design at the second level. Use then a [1 0; 0 1] F-contrast to test for this interaction effect.
2.1 One Sample T-Test: Overall effect, main effect of repetition#
Test for significantly non-zero BOLD responses over all subjects.
con_0005: Positive effect
con_0006: Positive Effect F>S
con_0007: Positive Effect S>U
con_0008: Positive Effect of rep1>rep2
con_0009: Positive Interaction Face (F/S) x Rep
con_0010: Positive Interaction Face (S/U) x Rep
wf_2ndlevel_onesample = Workflow(name='level2_spm_1sample', base_dir=experiment_dir)
wf_2ndlevel_onesample.config["execution"]["crashfile_format"] = "txt"
contrast_id = [5, 6, 7, 8, 9, 10] #contrasts con_0005 to con_0010
l2source = Node(DataGrabber(infields= ['con'], outfields=['contrasts']), name='l2source')
l2source.inputs.sort_filelist = True
l2source.inputs.base_directory = opj(experiment_dir, 'level1_spm_results')
l2source.inputs.template = '*'
l2source.inputs.field_template = dict(
contrasts = '*/con_%04d.nii'
)
# iterate over all contrast images
l2source.iterables = [('con', contrast_id)]
---------------------------------------------------------------------------
TraitError Traceback (most recent call last)
Cell In[35], line 6
3 l2source = Node(DataGrabber(infields= ['con'], outfields=['contrasts']), name='l2source')
5 l2source.inputs.sort_filelist = True
----> 6 l2source.inputs.base_directory = opj(experiment_dir, 'level1_spm_results')
7 l2source.inputs.template = '*'
8 l2source.inputs.field_template = dict(
9 contrasts = '*/con_%04d.nii'
10 )
File ~/.local/lib/python3.10/site-packages/nipype/interfaces/base/traits_extension.py:135, in BasePath.validate(self, objekt, name, value, return_pathlike)
133 if self.exists:
134 if not value.exists():
--> 135 self.error(objekt, name, str(value))
137 if self._is_file and not value.is_file():
138 self.error(objekt, name, str(value))
File ~/.local/lib/python3.10/site-packages/traits/base_trait_handler.py:74, in BaseTraitHandler.error(self, object, name, value)
57 def error(self, object, name, value):
58 """Raises a TraitError exception.
59
60 This method is called by the validate() method when an assigned value
(...)
72 The proposed new value for the attribute.
73 """
---> 74 raise TraitError(
75 object, name, self.full_info(object, name, value), value
76 )
TraitError: The 'base_directory' trait of a DataGrabberInputSpec instance must be a pathlike object or string representing an existing directory, but a value of '/storage/tmp/tmp7ql6rn7s/spm_analysis/level1_spm_results' <class 'str'> was specified.
# OneSampleTTest Design
onesamplettestdes = Node(interface=spm.OneSampleTTestDesign(), name="onesampttestdes")
wf_2ndlevel_onesample.connect([(l2source, onesamplettestdes, [('contrasts', 'in_files')])])
# EstimateModel - estimates the model
l2estimate = Node(spm.EstimateModel(estimation_method={'Classical':1}), name='level2estimate')
# EstimateContast - estimates group contrast
l2conestimate = Node(spm.EstimateContrast(group_contrast=True), name = 'level2conestimate')
con_1= ['Group', 'T', ['mean'], [1]]
#con_2= ['Group', 'F', [con_1]] # if an F contrast is also wanted
l2conestimate.inputs.contrasts = [con_1] # con_2, include in list if wanted
# Threshold - thresholds contrasts
level2thresh = Node(spm.Threshold(contrast_index=1,# which contrast in the SPM.mat to use --> here set for con_1: T stat
use_topo_fdr=True, # whether to use FDR over cluster extent probabilities
use_fwe_correction=False, # whether to use FWE (Bonferroni) correction for initial threshold
extent_threshold=0, # minimum cluster size in voxels
height_threshold=0.005, # value for initial thresholding (defining clusters) - voxelwise
height_threshold_type='p-value',
extent_fdr_p_threshold=0.05), # p threshold on FDR corrected cluster size probabilities
name='level2thresh')
wf_2ndlevel_onesample.connect([(onesamplettestdes, l2estimate, [('spm_mat_file', 'spm_mat_file')]),
(l2estimate, l2conestimate, [('spm_mat_file', 'spm_mat_file'),
('beta_images', 'beta_images'),
('residual_image', 'residual_image')]),
(l2conestimate, level2thresh, [('spm_mat_file', 'spm_mat_file'),
('spmT_images', 'stat_image')])
])
datasink_2nd = Node(DataSink(), name='datasink_2nd')
datasink_2nd.inputs.base_directory=opj(experiment_dir, 'level2_spm_results_1sample')
wf_2ndlevel_onesample.connect([(l2conestimate, datasink_2nd, [('spm_mat_file', '2ndLevel.@spm_mat'),
('spmT_images', '2ndLevel.@T'),
('con_images', '2ndLevel.@con')]),
(level2thresh, datasink_2nd, [('thresholded_map',
'2ndLevel.@threshold')])
])
#replace _con_ with con
subFolders = [('2ndLevel/', '')]
subFolders1 = [('_con_', 'con')]
subFolders.extend(subFolders1)
datasink_2nd.inputs.substitutions = subFolders
from IPython.display import Image
wf_2ndlevel_onesample.write_graph(graph2use='colored', format='png', simple_form=True)
Image(filename=opj(wf_2ndlevel_onesample.base_dir, wf_2ndlevel_onesample.name, 'graph.png'))
240705-06:57:41,445 nipype.workflow INFO:
Generated workflow graph: /storage/tmp/tmp7ql6rn7s/spm_analysis/level2_spm_1sample/graph.png (graph2use=colored, simple_form=True).
wf_2ndlevel_onesample.run(plugin="MultiProc")
# 2min
240705-06:57:41,481 nipype.workflow INFO:
Workflow level2_spm_1sample settings: ['check', 'execution', 'logging', 'monitoring']
240705-06:57:41,494 nipype.workflow INFO:
Running in parallel.
240705-06:57:41,498 nipype.workflow INFO:
[MultiProc] Running 0 tasks, and 1 jobs ready. Free memory (GB): 113.22/113.22, Free processors: 32/32.
240705-06:57:42,143 nipype.workflow INFO:
[Node] Setting-up "level2_spm_1sample.l2source" in "/storage/tmp/tmp7ql6rn7s/spm_analysis/level2_spm_1sample/l2source".
240705-06:57:42,156 nipype.workflow INFO:
[Node] Executing "l2source" <nipype.interfaces.io.DataGrabber>
240705-06:57:42,159 nipype.workflow WARNING:
[Node] Error on "level2_spm_1sample.l2source" (/storage/tmp/tmp7ql6rn7s/spm_analysis/level2_spm_1sample/l2source)
exception calling callback for <Future at 0x7f6cf641b250 state=finished raised FileNotFoundError>
concurrent.futures.process._RemoteTraceback:
"""
Traceback (most recent call last):
File "/home/ubuntu/.local/lib/python3.10/site-packages/nipype/pipeline/plugins/multiproc.py", line 67, in run_node
result["result"] = node.run(updatehash=updatehash)
File "/home/ubuntu/.local/lib/python3.10/site-packages/nipype/pipeline/engine/nodes.py", line 527, in run
result = self._run_interface(execute=True)
File "/home/ubuntu/.local/lib/python3.10/site-packages/nipype/pipeline/engine/nodes.py", line 645, in _run_interface
return self._run_command(execute)
File "/home/ubuntu/.local/lib/python3.10/site-packages/nipype/pipeline/engine/nodes.py", line 722, in _run_command
result = self._interface.run(cwd=outdir, ignore_exception=True)
File "/home/ubuntu/.local/lib/python3.10/site-packages/nipype/interfaces/base/core.py", line 388, in run
self._check_mandatory_inputs()
File "/home/ubuntu/.local/lib/python3.10/site-packages/nipype/interfaces/base/core.py", line 275, in _check_mandatory_inputs
raise ValueError(msg)
ValueError: DataGrabber requires a value for input 'template'. For a list of required inputs, see DataGrabber.help()
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/usr/lib/python3.10/concurrent/futures/process.py", line 246, in _process_worker
r = call_item.fn(*call_item.args, **call_item.kwargs)
File "/home/ubuntu/.local/lib/python3.10/site-packages/nipype/pipeline/plugins/multiproc.py", line 70, in run_node
result["result"] = node.result
File "/home/ubuntu/.local/lib/python3.10/site-packages/nipype/pipeline/engine/nodes.py", line 223, in result
return _load_resultfile(
File "/home/ubuntu/.local/lib/python3.10/site-packages/nipype/pipeline/engine/utils.py", line 291, in load_resultfile
raise FileNotFoundError(results_file)
FileNotFoundError: /storage/tmp/tmp7ql6rn7s/spm_analysis/level2_spm_1sample/l2source/result_l2source.pklz
"""
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "/usr/lib/python3.10/concurrent/futures/_base.py", line 342, in _invoke_callbacks
callback(self)
File "/home/ubuntu/.local/lib/python3.10/site-packages/nipype/pipeline/plugins/multiproc.py", line 159, in _async_callback
result = args.result()
File "/usr/lib/python3.10/concurrent/futures/_base.py", line 451, in result
return self.__get_result()
File "/usr/lib/python3.10/concurrent/futures/_base.py", line 403, in __get_result
raise self._exception
FileNotFoundError: /storage/tmp/tmp7ql6rn7s/spm_analysis/level2_spm_1sample/l2source/result_l2source.pklz
240705-06:57:43,503 nipype.workflow INFO:
[MultiProc] Running 1 tasks, and 0 jobs ready. Free memory (GB): 113.02/113.22, Free processors: 31/32.
Currently running:
* level2_spm_1sample.l2source
Process ForkProcess-48:
Process ForkProcess-47:
Process ForkProcess-52:
Process ForkProcess-42:
Process ForkProcess-37:
Process ForkProcess-56:
Process ForkProcess-50:
Process ForkProcess-44:
Process ForkProcess-45:
Process ForkProcess-51:
Process ForkProcess-55:
Process ForkProcess-41:
Process ForkProcess-58:
---------------------------------------------------------------------------
KeyboardInterrupt Traceback (most recent call last)
Cell In[41], line 1
----> 1 wf_2ndlevel_onesample.run(plugin="MultiProc")
2 # 2min
File ~/.local/lib/python3.10/site-packages/nipype/pipeline/engine/workflows.py:638, in Workflow.run(self, plugin, plugin_args, updatehash)
636 if str2bool(self.config["execution"]["create_report"]):
637 self._write_report_info(self.base_dir, self.name, execgraph)
--> 638 runner.run(execgraph, updatehash=updatehash, config=self.config)
639 datestr = datetime.utcnow().strftime("%Y%m%dT%H%M%S")
640 if str2bool(self.config["execution"]["write_provenance"]):
File ~/.local/lib/python3.10/site-packages/nipype/pipeline/plugins/base.py:204, in DistributedPluginBase.run(self, graph, config, updatehash)
201 logger.debug("Not submitting (max jobs reached)")
203 sleep_til = loop_start + poll_sleep_secs
--> 204 sleep(max(0, sleep_til - time()))
206 self._remove_node_dirs()
207 report_nodes_not_run(notrun)
KeyboardInterrupt:
Process ForkProcess-54:
Process ForkProcess-63:
Process ForkProcess-49:
Process ForkProcess-53:
Process ForkProcess-43:
Process ForkProcess-39:
Process ForkProcess-40:
Process ForkProcess-33:
Process ForkProcess-57:
Process ForkProcess-34:
Process ForkProcess-38:
Process ForkProcess-62:
2.1 Two Sample T-Test: Main effect of face, Interaction Face x Repetition#
Main effect of face: enter the following 2 contrasts per subject into a two-sample t-test and use 1 0, 0 1 F contrast
con_0006: Positive Effect F>S
con_0007: Positive Effect S>U
Interaction Face x Rep: enter the following 2 contrasts per subject into a two-sample t-test and use 1 0, 0 1 F contrast
con_0009: Positive Interaction Face (F/S) x Rep
con_0010: Positive Interaction Face (S/U) x Rep
wf_2ndlevel_twosample = Workflow(name='level2_spm_2sample', base_dir=experiment_dir)
wf_2ndlevel_twosample.config["execution"]["crashfile_format"] = "txt"
contrast_id_1 = [6] #con_0006
contrast_id_2 = [7] #con_0007
l2source2 = Node(DataGrabber(outfields=["group_1", "group_2"]), name='l2source')
l2source2.inputs.sort_filelist = True
l2source2.inputs.contrast_id_1 = contrast_id_1
l2source2.inputs.contrast_id_2 = contrast_id_2
l2source2.inputs.base_directory = opj(experiment_dir, 'level1_spm_results')
l2source2.inputs.template = '*'
l2source2.inputs.template_args = dict(
group_1=[["contrast_id_1"]],
group_2=[["contrast_id_2"]])
l2source2.inputs.field_template = dict(
group_1 = "*/con_%04d.nii",
group_2 ="*/con_%04d.nii",
)
# SecondLevelDesign - TwoSampleTTestDesign bases Factorial Design
twosamplettestdes = Node(interface=spm.TwoSampleTTestDesign(), name="twosampttestdes")
twosamplettestdes.inputs.dependent = False # measurements dependent between levels
twosamplettestdes.inputs.unequal_variance = True # equal or unequal between groups
wf_2ndlevel_twosample.connect([(l2source2, twosamplettestdes, [('group_1', 'group1_files')]),
(l2source2, twosamplettestdes, [('group_2', 'group2_files')])])
l2estimate2 = Node(spm.EstimateModel(estimation_method={'Classical':1}), name='level2estimate')
# EstimateContast - estimates group contrast
l2conestimate2 = Node(spm.EstimateContrast(group_contrast=True), name = 'level2conestimate')
con_1 = ('Pos effect level 1','T', ['Group_{1}', 'Group_{2}'],[1, 0])
con_2 = ('Pos effect level 2','T', ['Group_{1}', 'Group_{2}'],[0, 1])
con_3 = ('Main effect', 'F', [con_1, con_2]) # main effect of face
l2conestimate2.inputs.contrasts = [con_1, con_2, con_3]
# Threshold - thresholds contrasts
level2thresh2 = MapNode(spm.Threshold(contrast_index=3,# which contrast in the SPM.mat to use --> here set for con_3: main effect
use_topo_fdr=True, # whether to use FDR over cluster extent probabilities
use_fwe_correction=False, # whether to use FWE (Bonferroni) correction for initial threshold
extent_threshold=0, # minimum cluster size in voxels
height_threshold=0.005, # value for initial thresholding (defining clusters) - voxelwise
height_threshold_type='p-value',
extent_fdr_p_threshold=0.05), # P threshold on FDR corrected cluster size probabilities
iterfield=['stat_image'],
name='level2thresh')
wf_2ndlevel_twosample.connect([(twosamplettestdes, l2estimate2, [('spm_mat_file', 'spm_mat_file')]),
(l2estimate2, l2conestimate2, [('spm_mat_file', 'spm_mat_file'),
('beta_images', 'beta_images'),
('residual_image', 'residual_image')]),
(l2conestimate2, level2thresh2, [('spm_mat_file', 'spm_mat_file'),
('spmT_images', 'stat_image')])
])
datasink_2nd_2 = Node(DataSink(), name='datasink_2nd_2')
datasink_2nd_2.inputs.base_directory=opj(experiment_dir, 'level2_spm_results_2sample')
wf_2ndlevel_twosample.connect([(l2conestimate2, datasink_2nd_2, [('spm_mat_file', '2ndLevel.@spm_mat'),
('spmT_images', '2ndLevel.@T'),
('con_images', '2ndLevel.@con')]),
(level2thresh2, datasink_2nd_2, [('thresholded_map',
'2ndLevel.@threshold')])
])
subFolders = [('2ndLevel/', 'MainEffectFace/')]
subFolders1 = [('_con_', 'con')]
subFolders2 = [('_level2thresh0', 'thresh_con1')]
subFolders3 = [('_level2thresh1', 'thresh_con2')]
subFolders4 = [('_level2thresh2', 'thresh_con3')]
subFolders.extend(subFolders1)
subFolders.extend(subFolders2)
subFolders.extend(subFolders3)
subFolders.extend(subFolders4)
datasink_2nd_2.inputs.substitutions = subFolders
from IPython.display import Image
wf_2ndlevel_twosample.write_graph(graph2use='colored', format='png', simple_form=True)
Image(filename=opj(wf_2ndlevel_twosample.base_dir, wf_2ndlevel_twosample.name, 'graph.png'))
240613-06:45:44,410 nipype.workflow INFO:
Generated workflow graph: /mnt/neurodesktop-storage/Examples_neurodesk/spm_analysis/level2_spm_2sample/graph.png (graph2use=colored, simple_form=True).
wf_2ndlevel_twosample.run(plugin="MultiProc")
240613-06:45:44,421 nipype.workflow INFO:
Workflow level2_spm_2sample settings: ['check', 'execution', 'logging', 'monitoring']
240613-06:45:44,427 nipype.workflow INFO:
Running in parallel.
240613-06:45:44,429 nipype.workflow INFO:
[MultiProc] Running 0 tasks, and 1 jobs ready. Free memory (GB): 219.48/219.48, Free processors: 32/32.
240613-06:45:44,938 nipype.workflow INFO:
[Node] Setting-up "level2_spm_2sample.l2source" in "/mnt/neurodesktop-storage/Examples_neurodesk/spm_analysis/level2_spm_2sample/l2source".
240613-06:45:44,946 nipype.workflow INFO:
[Node] Executing "l2source" <nipype.interfaces.io.DataGrabber>
240613-06:45:44,952 nipype.workflow INFO:
[Node] Finished "l2source", elapsed time 0.00239s.
240613-06:45:46,432 nipype.workflow INFO:
[Job 0] Completed (level2_spm_2sample.l2source).
240613-06:45:46,436 nipype.workflow INFO:
[MultiProc] Running 0 tasks, and 1 jobs ready. Free memory (GB): 219.48/219.48, Free processors: 32/32.
240613-06:45:46,685 nipype.workflow INFO:
[Node] Setting-up "level2_spm_2sample.twosampttestdes" in "/mnt/neurodesktop-storage/Examples_neurodesk/spm_analysis/level2_spm_2sample/twosampttestdes".
240613-06:45:46,697 nipype.workflow INFO:
[Node] Executing "twosampttestdes" <nipype.interfaces.spm.model.TwoSampleTTestDesign>
240613-06:45:48,430 nipype.workflow INFO:
[MultiProc] Running 1 tasks, and 0 jobs ready. Free memory (GB): 219.28/219.48, Free processors: 31/32.
Currently running:
* level2_spm_2sample.twosampttestdes
240613-06:46:02,47 nipype.workflow INFO:
[Node] Finished "twosampttestdes", elapsed time 15.346838s.
stty: 'standard input': Inappropriate ioctl for device
240613-06:46:02,431 nipype.workflow INFO:
[Job 1] Completed (level2_spm_2sample.twosampttestdes).
240613-06:46:02,433 nipype.workflow INFO:
[MultiProc] Running 0 tasks, and 1 jobs ready. Free memory (GB): 219.48/219.48, Free processors: 32/32.
240613-06:46:02,580 nipype.workflow INFO:
[Node] Setting-up "level2_spm_2sample.level2estimate" in "/mnt/neurodesktop-storage/Examples_neurodesk/spm_analysis/level2_spm_2sample/level2estimate".
240613-06:46:02,590 nipype.workflow INFO:
[Node] Executing "level2estimate" <nipype.interfaces.spm.model.EstimateModel>
240613-06:46:04,432 nipype.workflow INFO:
[MultiProc] Running 1 tasks, and 0 jobs ready. Free memory (GB): 219.28/219.48, Free processors: 31/32.
Currently running:
* level2_spm_2sample.level2estimate
240613-06:46:22,491 nipype.workflow INFO:
[Node] Finished "level2estimate", elapsed time 19.898428s.
stty: 'standard input': Inappropriate ioctl for device
240613-06:46:24,433 nipype.workflow INFO:
[Job 2] Completed (level2_spm_2sample.level2estimate).
240613-06:46:24,435 nipype.workflow INFO:
[MultiProc] Running 0 tasks, and 1 jobs ready. Free memory (GB): 219.48/219.48, Free processors: 32/32.
240613-06:46:24,580 nipype.workflow INFO:
[Node] Setting-up "level2_spm_2sample.level2conestimate" in "/mnt/neurodesktop-storage/Examples_neurodesk/spm_analysis/level2_spm_2sample/level2conestimate".
240613-06:46:24,595 nipype.workflow INFO:
[Node] Executing "level2conestimate" <nipype.interfaces.spm.model.EstimateContrast>
240613-06:46:26,434 nipype.workflow INFO:
[MultiProc] Running 1 tasks, and 0 jobs ready. Free memory (GB): 219.28/219.48, Free processors: 31/32.
Currently running:
* level2_spm_2sample.level2conestimate
240613-06:46:41,400 nipype.workflow INFO:
[Node] Finished "level2conestimate", elapsed time 16.802565s.
stty: 'standard input': Inappropriate ioctl for device
240613-06:46:42,435 nipype.workflow INFO:
[Job 3] Completed (level2_spm_2sample.level2conestimate).
240613-06:46:42,437 nipype.workflow INFO:
[MultiProc] Running 0 tasks, and 1 jobs ready. Free memory (GB): 219.48/219.48, Free processors: 32/32.
240613-06:46:44,435 nipype.workflow INFO:
[MultiProc] Running 0 tasks, and 3 jobs ready. Free memory (GB): 219.48/219.48, Free processors: 32/32.
240613-06:46:44,580 nipype.workflow INFO:
[Node] Setting-up "_level2thresh0" in "/mnt/neurodesktop-storage/Examples_neurodesk/spm_analysis/level2_spm_2sample/level2thresh/mapflow/_level2thresh0".
240613-06:46:44,581 nipype.workflow INFO:
[Node] Setting-up "_level2thresh1" in "/mnt/neurodesktop-storage/Examples_neurodesk/spm_analysis/level2_spm_2sample/level2thresh/mapflow/_level2thresh1".
240613-06:46:44,582 nipype.workflow INFO:
[Node] Setting-up "_level2thresh2" in "/mnt/neurodesktop-storage/Examples_neurodesk/spm_analysis/level2_spm_2sample/level2thresh/mapflow/_level2thresh2".
240613-06:46:44,592 nipype.workflow INFO:
[Node] Executing "_level2thresh0" <nipype.interfaces.spm.model.Threshold>
240613-06:46:44,592 nipype.workflow INFO:
[Node] Executing "_level2thresh1" <nipype.interfaces.spm.model.Threshold>
240613-06:46:44,592 nipype.workflow INFO:
[Node] Executing "_level2thresh2" <nipype.interfaces.spm.model.Threshold>
240613-06:46:46,440 nipype.workflow INFO:
[MultiProc] Running 3 tasks, and 0 jobs ready. Free memory (GB): 218.88/219.48, Free processors: 29/32.
Currently running:
* _level2thresh2
* _level2thresh1
* _level2thresh0
240613-06:46:56,734 nipype.workflow INFO:
[Node] Finished "_level2thresh1", elapsed time 12.139144s.
240613-06:46:56,789 nipype.workflow INFO:
[Node] Finished "_level2thresh0", elapsed time 12.19431s.
240613-06:46:56,825 nipype.workflow INFO:
[Node] Finished "_level2thresh2", elapsed time 12.230605s.
stty: 'standard input': Inappropriate ioctl for device
stty: 'standard input': Inappropriate ioctl for device
stty: 'standard input': Inappropriate ioctl for device
240613-06:46:58,442 nipype.workflow INFO:
[Job 6] Completed (_level2thresh0).
240613-06:46:58,444 nipype.workflow INFO:
[Job 7] Completed (_level2thresh1).
240613-06:46:58,445 nipype.workflow INFO:
[Job 8] Completed (_level2thresh2).
240613-06:46:58,446 nipype.workflow INFO:
[MultiProc] Running 0 tasks, and 1 jobs ready. Free memory (GB): 219.48/219.48, Free processors: 32/32.
240613-06:46:58,601 nipype.workflow INFO:
[Node] Setting-up "_level2thresh0" in "/mnt/neurodesktop-storage/Examples_neurodesk/spm_analysis/level2_spm_2sample/level2thresh/mapflow/_level2thresh0".
240613-06:46:58,606 nipype.workflow INFO:
[Node] Cached "_level2thresh0" - collecting precomputed outputs
240613-06:46:58,608 nipype.workflow INFO:
[Node] "_level2thresh0" found cached.
240613-06:46:58,609 nipype.workflow INFO:
[Node] Setting-up "_level2thresh1" in "/mnt/neurodesktop-storage/Examples_neurodesk/spm_analysis/level2_spm_2sample/level2thresh/mapflow/_level2thresh1".
240613-06:46:58,611 nipype.workflow INFO:
[Node] Cached "_level2thresh1" - collecting precomputed outputs
240613-06:46:58,612 nipype.workflow INFO:
[Node] "_level2thresh1" found cached.
240613-06:46:58,614 nipype.workflow INFO:
[Node] Setting-up "_level2thresh2" in "/mnt/neurodesktop-storage/Examples_neurodesk/spm_analysis/level2_spm_2sample/level2thresh/mapflow/_level2thresh2".
240613-06:46:58,616 nipype.workflow INFO:
[Node] Cached "_level2thresh2" - collecting precomputed outputs
240613-06:46:58,617 nipype.workflow INFO:
[Node] "_level2thresh2" found cached.
240613-06:47:00,443 nipype.workflow INFO:
[Job 4] Completed (level2_spm_2sample.level2thresh).
240613-06:47:00,445 nipype.workflow INFO:
[MultiProc] Running 0 tasks, and 1 jobs ready. Free memory (GB): 219.48/219.48, Free processors: 32/32.
240613-06:47:00,588 nipype.workflow INFO:
[Node] Setting-up "level2_spm_2sample.datasink_2nd_2" in "/mnt/neurodesktop-storage/Examples_neurodesk/spm_analysis/level2_spm_2sample/datasink_2nd_2".
240613-06:47:00,602 nipype.workflow INFO:
[Node] Executing "datasink_2nd_2" <nipype.interfaces.io.DataSink>
240613-06:47:00,604 nipype.interface INFO:
sub: /mnt/neurodesktop-storage/Examples_neurodesk/spm_analysis/level2_spm_results_2sample/2ndLevel/SPM.mat -> /mnt/neurodesktop-storage/Examples_neurodesk/spm_analysis/level2_spm_results_2sample/MainEffectFace/SPM.mat
240613-06:47:00,605 nipype.interface INFO:
sub: /mnt/neurodesktop-storage/Examples_neurodesk/spm_analysis/level2_spm_results_2sample/2ndLevel/spmT_0001.nii -> /mnt/neurodesktop-storage/Examples_neurodesk/spm_analysis/level2_spm_results_2sample/MainEffectFace/spmT_0001.nii
240613-06:47:00,606 nipype.interface INFO:
sub: /mnt/neurodesktop-storage/Examples_neurodesk/spm_analysis/level2_spm_results_2sample/2ndLevel/spmT_0002.nii -> /mnt/neurodesktop-storage/Examples_neurodesk/spm_analysis/level2_spm_results_2sample/MainEffectFace/spmT_0002.nii
240613-06:47:00,607 nipype.interface INFO:
sub: /mnt/neurodesktop-storage/Examples_neurodesk/spm_analysis/level2_spm_results_2sample/2ndLevel/spmF_0003.nii -> /mnt/neurodesktop-storage/Examples_neurodesk/spm_analysis/level2_spm_results_2sample/MainEffectFace/spmF_0003.nii
240613-06:47:00,608 nipype.interface INFO:
sub: /mnt/neurodesktop-storage/Examples_neurodesk/spm_analysis/level2_spm_results_2sample/2ndLevel/con_0001.nii -> /mnt/neurodesktop-storage/Examples_neurodesk/spm_analysis/level2_spm_results_2sample/MainEffectFace/con_0001.nii
240613-06:47:00,610 nipype.interface INFO:
sub: /mnt/neurodesktop-storage/Examples_neurodesk/spm_analysis/level2_spm_results_2sample/2ndLevel/con_0002.nii -> /mnt/neurodesktop-storage/Examples_neurodesk/spm_analysis/level2_spm_results_2sample/MainEffectFace/con_0002.nii
240613-06:47:00,610 nipype.interface INFO:
sub: /mnt/neurodesktop-storage/Examples_neurodesk/spm_analysis/level2_spm_results_2sample/2ndLevel/ess_0003.nii -> /mnt/neurodesktop-storage/Examples_neurodesk/spm_analysis/level2_spm_results_2sample/MainEffectFace/ess_0003.nii
240613-06:47:00,612 nipype.interface INFO:
sub: /mnt/neurodesktop-storage/Examples_neurodesk/spm_analysis/level2_spm_results_2sample/2ndLevel/_level2thresh0/spmT_0001_thr.nii -> /mnt/neurodesktop-storage/Examples_neurodesk/spm_analysis/level2_spm_results_2sample/MainEffectFace/thresh_con1/spmT_0001_thr.nii
240613-06:47:00,613 nipype.interface INFO:
sub: /mnt/neurodesktop-storage/Examples_neurodesk/spm_analysis/level2_spm_results_2sample/2ndLevel/_level2thresh1/spmT_0002_thr.nii -> /mnt/neurodesktop-storage/Examples_neurodesk/spm_analysis/level2_spm_results_2sample/MainEffectFace/thresh_con2/spmT_0002_thr.nii
240613-06:47:00,614 nipype.interface INFO:
sub: /mnt/neurodesktop-storage/Examples_neurodesk/spm_analysis/level2_spm_results_2sample/2ndLevel/_level2thresh2/spmF_0003_thr.nii -> /mnt/neurodesktop-storage/Examples_neurodesk/spm_analysis/level2_spm_results_2sample/MainEffectFace/thresh_con3/spmF_0003_thr.nii
240613-06:47:00,615 nipype.workflow INFO:
[Node] Finished "datasink_2nd_2", elapsed time 0.011128s.
240613-06:47:02,443 nipype.workflow INFO:
[Job 5] Completed (level2_spm_2sample.datasink_2nd_2).
240613-06:47:02,445 nipype.workflow INFO:
[MultiProc] Running 0 tasks, and 0 jobs ready. Free memory (GB): 219.48/219.48, Free processors: 32/32.
<networkx.classes.digraph.DiGraph at 0x7fd3533c5f10>
contrast_id_1 = [9] #con_0009
contrast_id_2 = [10] #con_0010
l2source2.inputs.contrast_id_1 = contrast_id_1
l2source2.inputs.contrast_id_2 = contrast_id_2
subFolders = [('2ndLevel/', 'InteractionFace_Repetition/')]
subFolders.extend(subFolders1)
subFolders.extend(subFolders2)
subFolders.extend(subFolders3)
subFolders.extend(subFolders4)
datasink_2nd_2.inputs.substitutions = subFolders
wf_2ndlevel_twosample.run(plugin="MultiProc")
240613-06:47:04,529 nipype.workflow INFO:
Workflow level2_spm_2sample settings: ['check', 'execution', 'logging', 'monitoring']
240613-06:47:04,536 nipype.workflow INFO:
Running in parallel.
240613-06:47:04,538 nipype.workflow INFO:
[MultiProc] Running 0 tasks, and 1 jobs ready. Free memory (GB): 219.48/219.48, Free processors: 32/32.
240613-06:47:04,680 nipype.workflow INFO:
[Node] Outdated cache found for "level2_spm_2sample.l2source".
240613-06:47:05,42 nipype.workflow INFO:
[Node] Setting-up "level2_spm_2sample.l2source" in "/mnt/neurodesktop-storage/Examples_neurodesk/spm_analysis/level2_spm_2sample/l2source".
240613-06:47:05,46 nipype.workflow INFO:
[Node] Outdated cache found for "level2_spm_2sample.l2source".
240613-06:47:05,57 nipype.workflow INFO:
[Node] Executing "l2source" <nipype.interfaces.io.DataGrabber>
240613-06:47:05,75 nipype.workflow INFO:
[Node] Finished "l2source", elapsed time 0.002216s.
240613-06:47:06,547 nipype.workflow INFO:
[Job 0] Completed (level2_spm_2sample.l2source).
240613-06:47:06,552 nipype.workflow INFO:
[MultiProc] Running 0 tasks, and 1 jobs ready. Free memory (GB): 219.48/219.48, Free processors: 32/32.
240613-06:47:06,796 nipype.workflow INFO:
[Node] Outdated cache found for "level2_spm_2sample.twosampttestdes".
240613-06:47:06,802 nipype.workflow INFO:
[Node] Setting-up "level2_spm_2sample.twosampttestdes" in "/mnt/neurodesktop-storage/Examples_neurodesk/spm_analysis/level2_spm_2sample/twosampttestdes".
240613-06:47:06,806 nipype.workflow INFO:
[Node] Outdated cache found for "level2_spm_2sample.twosampttestdes".
240613-06:47:06,813 nipype.workflow INFO:
[Node] Executing "twosampttestdes" <nipype.interfaces.spm.model.TwoSampleTTestDesign>
240613-06:47:08,539 nipype.workflow INFO:
[MultiProc] Running 1 tasks, and 0 jobs ready. Free memory (GB): 219.28/219.48, Free processors: 31/32.
Currently running:
* level2_spm_2sample.twosampttestdes
240613-06:47:22,398 nipype.workflow INFO:
[Node] Finished "twosampttestdes", elapsed time 15.58235s.
240613-06:47:22,539 nipype.workflow INFO:
[Job 1] Completed (level2_spm_2sample.twosampttestdes).
240613-06:47:22,541 nipype.workflow INFO:
[MultiProc] Running 0 tasks, and 1 jobs ready. Free memory (GB): 219.48/219.48, Free processors: 32/32.
stty: 'standard input': Inappropriate ioctl for device
240613-06:47:22,685 nipype.workflow INFO:
[Node] Outdated cache found for "level2_spm_2sample.level2estimate".
240613-06:47:22,690 nipype.workflow INFO:
[Node] Setting-up "level2_spm_2sample.level2estimate" in "/mnt/neurodesktop-storage/Examples_neurodesk/spm_analysis/level2_spm_2sample/level2estimate".
240613-06:47:22,694 nipype.workflow INFO:
[Node] Outdated cache found for "level2_spm_2sample.level2estimate".
240613-06:47:22,704 nipype.workflow INFO:
[Node] Executing "level2estimate" <nipype.interfaces.spm.model.EstimateModel>
240613-06:47:24,541 nipype.workflow INFO:
[MultiProc] Running 1 tasks, and 0 jobs ready. Free memory (GB): 219.28/219.48, Free processors: 31/32.
Currently running:
* level2_spm_2sample.level2estimate
240613-06:47:42,212 nipype.workflow INFO:
[Node] Finished "level2estimate", elapsed time 19.50542s.
stty: 'standard input': Inappropriate ioctl for device
240613-06:47:42,541 nipype.workflow INFO:
[Job 2] Completed (level2_spm_2sample.level2estimate).
240613-06:47:42,543 nipype.workflow INFO:
[MultiProc] Running 0 tasks, and 1 jobs ready. Free memory (GB): 219.48/219.48, Free processors: 32/32.
240613-06:47:42,685 nipype.workflow INFO:
[Node] Outdated cache found for "level2_spm_2sample.level2conestimate".
240613-06:47:42,691 nipype.workflow INFO:
[Node] Setting-up "level2_spm_2sample.level2conestimate" in "/mnt/neurodesktop-storage/Examples_neurodesk/spm_analysis/level2_spm_2sample/level2conestimate".
240613-06:47:42,696 nipype.workflow INFO:
[Node] Outdated cache found for "level2_spm_2sample.level2conestimate".
240613-06:47:42,705 nipype.workflow INFO:
[Node] Executing "level2conestimate" <nipype.interfaces.spm.model.EstimateContrast>
240613-06:47:44,542 nipype.workflow INFO:
[MultiProc] Running 1 tasks, and 0 jobs ready. Free memory (GB): 219.28/219.48, Free processors: 31/32.
Currently running:
* level2_spm_2sample.level2conestimate
240613-06:47:59,416 nipype.workflow INFO:
[Node] Finished "level2conestimate", elapsed time 16.708273s.
stty: 'standard input': Inappropriate ioctl for device
240613-06:48:00,543 nipype.workflow INFO:
[Job 3] Completed (level2_spm_2sample.level2conestimate).
240613-06:48:00,545 nipype.workflow INFO:
[MultiProc] Running 0 tasks, and 1 jobs ready. Free memory (GB): 219.48/219.48, Free processors: 32/32.
240613-06:48:02,543 nipype.workflow INFO:
[MultiProc] Running 0 tasks, and 3 jobs ready. Free memory (GB): 219.48/219.48, Free processors: 32/32.
240613-06:48:02,691 nipype.workflow INFO:
[Node] Outdated cache found for "_level2thresh0".
240613-06:48:02,694 nipype.workflow INFO:
[Node] Outdated cache found for "_level2thresh1".
240613-06:48:02,696 nipype.workflow INFO:
[Node] Outdated cache found for "_level2thresh2".
240613-06:48:02,696 nipype.workflow INFO:
[Node] Setting-up "_level2thresh0" in "/mnt/neurodesktop-storage/Examples_neurodesk/spm_analysis/level2_spm_2sample/level2thresh/mapflow/_level2thresh0".
240613-06:48:02,701 nipype.workflow INFO:
[Node] Outdated cache found for "_level2thresh0".
240613-06:48:02,698 nipype.workflow INFO:
[Node] Setting-up "_level2thresh1" in "/mnt/neurodesktop-storage/Examples_neurodesk/spm_analysis/level2_spm_2sample/level2thresh/mapflow/_level2thresh1".
240613-06:48:02,700 nipype.workflow INFO:
[Node] Setting-up "_level2thresh2" in "/mnt/neurodesktop-storage/Examples_neurodesk/spm_analysis/level2_spm_2sample/level2thresh/mapflow/_level2thresh2".
240613-06:48:02,709 nipype.workflow INFO:
[Node] Outdated cache found for "_level2thresh1".
240613-06:48:02,711 nipype.workflow INFO:
[Node] Outdated cache found for "_level2thresh2".
240613-06:48:02,714 nipype.workflow INFO:
[Node] Executing "_level2thresh0" <nipype.interfaces.spm.model.Threshold>
240613-06:48:02,716 nipype.workflow INFO:
[Node] Executing "_level2thresh1" <nipype.interfaces.spm.model.Threshold>
240613-06:48:02,718 nipype.workflow INFO:
[Node] Executing "_level2thresh2" <nipype.interfaces.spm.model.Threshold>
240613-06:48:04,544 nipype.workflow INFO:
[MultiProc] Running 3 tasks, and 0 jobs ready. Free memory (GB): 218.88/219.48, Free processors: 29/32.
Currently running:
* _level2thresh2
* _level2thresh1
* _level2thresh0
240613-06:48:14,610 nipype.workflow INFO:
[Node] Finished "_level2thresh1", elapsed time 11.89035s.
240613-06:48:14,622 nipype.workflow INFO:
[Node] Finished "_level2thresh0", elapsed time 11.904817s.
240613-06:48:14,731 nipype.workflow INFO:
[Node] Finished "_level2thresh2", elapsed time 12.0103s.
stty: 'standard input': Inappropriate ioctl for device
stty: 'standard input': Inappropriate ioctl for device
stty: 'standard input': Inappropriate ioctl for device
240613-06:48:16,544 nipype.workflow INFO:
[Job 6] Completed (_level2thresh0).
240613-06:48:16,546 nipype.workflow INFO:
[Job 7] Completed (_level2thresh1).
240613-06:48:16,546 nipype.workflow INFO:
[Job 8] Completed (_level2thresh2).
240613-06:48:16,547 nipype.workflow INFO:
[MultiProc] Running 0 tasks, and 1 jobs ready. Free memory (GB): 219.48/219.48, Free processors: 32/32.
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[Node] Setting-up "_level2thresh0" in "/mnt/neurodesktop-storage/Examples_neurodesk/spm_analysis/level2_spm_2sample/level2thresh/mapflow/_level2thresh0".
240613-06:48:16,727 nipype.workflow INFO:
[Node] Cached "_level2thresh0" - collecting precomputed outputs
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[Node] "_level2thresh0" found cached.
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[Node] Setting-up "_level2thresh1" in "/mnt/neurodesktop-storage/Examples_neurodesk/spm_analysis/level2_spm_2sample/level2thresh/mapflow/_level2thresh1".
240613-06:48:16,731 nipype.workflow INFO:
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[Node] Setting-up "_level2thresh2" in "/mnt/neurodesktop-storage/Examples_neurodesk/spm_analysis/level2_spm_2sample/level2thresh/mapflow/_level2thresh2".
240613-06:48:16,737 nipype.workflow INFO:
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240613-06:48:18,544 nipype.workflow INFO:
[Job 4] Completed (level2_spm_2sample.level2thresh).
240613-06:48:18,547 nipype.workflow INFO:
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[Node] Setting-up "level2_spm_2sample.datasink_2nd_2" in "/mnt/neurodesktop-storage/Examples_neurodesk/spm_analysis/level2_spm_2sample/datasink_2nd_2".
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[Node] Outdated cache found for "level2_spm_2sample.datasink_2nd_2".
240613-06:48:18,709 nipype.workflow INFO:
[Node] Executing "datasink_2nd_2" <nipype.interfaces.io.DataSink>
240613-06:48:18,712 nipype.interface INFO:
sub: /mnt/neurodesktop-storage/Examples_neurodesk/spm_analysis/level2_spm_results_2sample/2ndLevel/SPM.mat -> /mnt/neurodesktop-storage/Examples_neurodesk/spm_analysis/level2_spm_results_2sample/InteractionFace_Repetition/SPM.mat
240613-06:48:18,713 nipype.interface INFO:
sub: /mnt/neurodesktop-storage/Examples_neurodesk/spm_analysis/level2_spm_results_2sample/2ndLevel/spmT_0001.nii -> /mnt/neurodesktop-storage/Examples_neurodesk/spm_analysis/level2_spm_results_2sample/InteractionFace_Repetition/spmT_0001.nii
240613-06:48:18,714 nipype.interface INFO:
sub: /mnt/neurodesktop-storage/Examples_neurodesk/spm_analysis/level2_spm_results_2sample/2ndLevel/spmT_0002.nii -> /mnt/neurodesktop-storage/Examples_neurodesk/spm_analysis/level2_spm_results_2sample/InteractionFace_Repetition/spmT_0002.nii
240613-06:48:18,716 nipype.interface INFO:
sub: /mnt/neurodesktop-storage/Examples_neurodesk/spm_analysis/level2_spm_results_2sample/2ndLevel/spmF_0003.nii -> /mnt/neurodesktop-storage/Examples_neurodesk/spm_analysis/level2_spm_results_2sample/InteractionFace_Repetition/spmF_0003.nii
240613-06:48:18,717 nipype.interface INFO:
sub: /mnt/neurodesktop-storage/Examples_neurodesk/spm_analysis/level2_spm_results_2sample/2ndLevel/con_0001.nii -> /mnt/neurodesktop-storage/Examples_neurodesk/spm_analysis/level2_spm_results_2sample/InteractionFace_Repetition/con_0001.nii
240613-06:48:18,718 nipype.interface INFO:
sub: /mnt/neurodesktop-storage/Examples_neurodesk/spm_analysis/level2_spm_results_2sample/2ndLevel/con_0002.nii -> /mnt/neurodesktop-storage/Examples_neurodesk/spm_analysis/level2_spm_results_2sample/InteractionFace_Repetition/con_0002.nii
240613-06:48:18,719 nipype.interface INFO:
sub: /mnt/neurodesktop-storage/Examples_neurodesk/spm_analysis/level2_spm_results_2sample/2ndLevel/ess_0003.nii -> /mnt/neurodesktop-storage/Examples_neurodesk/spm_analysis/level2_spm_results_2sample/InteractionFace_Repetition/ess_0003.nii
240613-06:48:18,720 nipype.interface INFO:
sub: /mnt/neurodesktop-storage/Examples_neurodesk/spm_analysis/level2_spm_results_2sample/2ndLevel/_level2thresh0/spmT_0001_thr.nii -> /mnt/neurodesktop-storage/Examples_neurodesk/spm_analysis/level2_spm_results_2sample/InteractionFace_Repetition/thresh_con1/spmT_0001_thr.nii
240613-06:48:18,721 nipype.interface INFO:
sub: /mnt/neurodesktop-storage/Examples_neurodesk/spm_analysis/level2_spm_results_2sample/2ndLevel/_level2thresh1/spmT_0002_thr.nii -> /mnt/neurodesktop-storage/Examples_neurodesk/spm_analysis/level2_spm_results_2sample/InteractionFace_Repetition/thresh_con2/spmT_0002_thr.nii
240613-06:48:18,722 nipype.interface INFO:
sub: /mnt/neurodesktop-storage/Examples_neurodesk/spm_analysis/level2_spm_results_2sample/2ndLevel/_level2thresh2/spmF_0003_thr.nii -> /mnt/neurodesktop-storage/Examples_neurodesk/spm_analysis/level2_spm_results_2sample/InteractionFace_Repetition/thresh_con3/spmF_0003_thr.nii
240613-06:48:18,724 nipype.workflow INFO:
[Node] Finished "datasink_2nd_2", elapsed time 0.011743s.
240613-06:48:20,545 nipype.workflow INFO:
[Job 5] Completed (level2_spm_2sample.datasink_2nd_2).
240613-06:48:20,547 nipype.workflow INFO:
[MultiProc] Running 0 tasks, and 0 jobs ready. Free memory (GB): 219.48/219.48, Free processors: 32/32.
<networkx.classes.digraph.DiGraph at 0x7fd3533b13d0>
Results#
The group analysis was only done on N=9 subjects, a voxel-wise threshold of p<0.005 was chosen and a cluster-wise FDR threshold of p<0.05 to correct for multiple comparisons.
Look at the positive effect using the plot_stat_map plotting method of nilearn#
plotting.plot_stat_map(opj(experiment_dir, 'level2_spm_results_1sample/con5/spmT_0001_thr.nii'), title='Positive Effect', dim=1, display_mode='y', cut_coords=(-45, -30, -15, 0, 15), threshold=2, vmax=8, cmap='viridis');
/opt/conda/lib/python3.11/site-packages/nilearn/plotting/img_plotting.py:1317: UserWarning: Non-finite values detected. These values will be replaced with zeros.
safe_get_data(stat_map_img, ensure_finite=True),
Look at the results using the glass brain plotting method of nilearn#
plotting.plot_glass_brain(opj(experiment_dir, 'level2_spm_results_1sample/con5/spmT_0001_thr.nii'),
colorbar=True, threshold=2, display_mode='lyrz', black_bg=True, vmax=10, title='Positive effect');
plotting.plot_glass_brain(opj(experiment_dir, 'level2_spm_results_1sample/con6/spmT_0001_thr.nii'),
colorbar=True, threshold=2, display_mode='lyrz', black_bg=True, vmax=10, title='Positive effect Famous>Unfamiliar');
plotting.plot_glass_brain(opj(experiment_dir, 'level2_spm_results_1sample/con7/spmT_0001_thr.nii'),
colorbar=True, threshold=2, display_mode='lyrz', black_bg=True, vmax=10, title='Positive effect Unfamiliar>Scambled');
plotting.plot_glass_brain(opj(experiment_dir, 'level2_spm_results_1sample/con8/spmT_0001_thr.nii'),
colorbar=True, threshold=2, display_mode='lyrz', black_bg=True, vmax=10, title='Positive Effect of rep1>rep2');
plotting.plot_glass_brain(opj(experiment_dir, 'level2_spm_results_1sample/con9/spmT_0001_thr.nii'),
colorbar=True, threshold=2, display_mode='lyrz', black_bg=True, vmax=10, title='Positive Interaction Face (Famous/Unfamiliar) x Rep');
plotting.plot_glass_brain(opj(experiment_dir, 'level2_spm_results_1sample/con10/spmT_0001_thr.nii'),
colorbar=True, threshold=2, display_mode='lyrz', black_bg=True, vmax=10, title='Positive Interaction Face (Unfamiliar/Scrambled) x Rep');
/opt/conda/lib/python3.11/site-packages/nilearn/plotting/img_plotting.py:1471: UserWarning: Non-finite values detected. These values will be replaced with zeros.
safe_get_data(stat_map_img, ensure_finite=True),
/opt/conda/lib/python3.11/site-packages/nilearn/plotting/displays/_slicers.py:308: UserWarning: empty mask
ims = self._map_show(img, type="imshow", threshold=threshold, **kwargs)
Visualize main effects face and interaction face x repetition#
plotting.plot_glass_brain(opj(experiment_dir, 'level2_spm_results_2sample/MainEffectFace/thresh_con3/spmF_0003_thr.nii'),
colorbar=True, display_mode='lyrz', black_bg=True, vmax=10, title='Main effect face');
plotting.plot_glass_brain(opj(experiment_dir, 'level2_spm_results_2sample/InteractionFace_Repetition/thresh_con3/spmF_0003_thr.nii'),
colorbar=True, display_mode='lyrz', black_bg=True, vmax=10, title='Interaction face x repetition');
